update dataset_cn.md, dataset_summary.md.md (#55)

docs/data/dataset_cn.md

@@ -1,24 +1,23 @@
 PaddleRS搜集汇总了 遥感影像领域 常用的 **开源**深度学习数据集，每个数据集信息包括
 
-* 基本的**数据集说明**；
-* **影像信息**；
-* **标注信息**；
-* 数据集的**源地址**；
+* 基本的 **数据集说明** ；
+* **影像信息** ；
+* **标注信息** ；
+* 数据集的 **源地址** ；
 * **aistudio备份链接**
 
 这些数据集按任务类型可分为 **图像分类、图像分割、变化检测、目标检测、目标跟踪、多标签分类、图像生成** 等多种类型
 
 目前已收录的遥感数据集：
 
-* 图像分类数据集31个；
-* 目标检测数据集37个；
-* 图像分割数据集67个；
-* 变化检测数据集24个；
+* 图像分类数据集32个；
+* 目标检测数据集40个；
+* 图像分割数据集70个；
+* 变化检测数据集28个；
 * 实例分割数据集7个；
 * 多标签分类数据集3个；
-* 目标跟踪数据集3个；
+* 目标跟踪数据集9个；
 * 图像标题数据集3个；
-* 图像生成数据集4个
-
+* 图像生成数据集8个
 
 欢迎访问[遥感数据集汇总](./dataset_summary.md)，获取详细数据集内容

docs/data/dataset_summary.md

@@ -19,18 +19,19 @@
 | [1-17](https://aistudio.baidu.com/aistudio/datasetdetail/52728) | [SenseEarth   Classify](https://rs.sensetime.com/competition/index.html#/info) | 图像分类   | 100 * 100~12655 * 12655                | 3         | 70000    | 51     | jpg      | txt             | 0.2~ 153m          | __           | 卫星影像           | GoogleEarth                                          | 2020     | 商汤科技                                                  | https://rs.sensetime.com/competition/index.html#/info        | https://aistudio.baidu.com/aistudio/datasetdetail/52728  |
 | [1-18](https://aistudio.baidu.com/aistudio/datasetdetail/86229) | [TG1HRSSC](http://www.msadc.cn/main/setsubDetail?id=1369487569196158978) | 图像分类   | 512 * 512                              | 1、54、52 | 204      | 9      | tif      | folder name     | 5m, 10m, 20m,      | 0.4~ 2.5μm   | 卫星影像           | 天宫一号                                             | 2021     | 中国科学院空间应用工程与技术中心                          | http://www.msadc.cn/main/setsubDetail?id=1369487569196158978 | https://aistudio.baidu.com/aistudio/datasetdetail/86229  |
 | [1-19](https://aistudio.baidu.com/aistudio/datasetdetail/86451) | [NaSC TG2](http://www.msadc.cn/main/setsubDetail?id=1370312964720037889) | 图像分类   | 128 * 128                              | 3、14     | 20000    | 10     | jpg, tif | folder name     | __                 | 0.40~ 1.04µm | 卫星影像           | 天宫二号                                             | 2021     | 中国科学院空间应用工程与技术中心                          | http://www.msadc.cn/main/setsubDetail?id=1370312964720037889 | https://aistudio.baidu.com/aistudio/datasetdetail/86451  |
-| [1-20](https://aistudio.baidu.com/aistudio/datasetdetail/52534) | [SAT 4](http://csc.lsu.edu/~saikat/deepsat/)                 | 图像分类   | 28 * 28                                | 4         | 500000   | 4      | mat      | mat             | 1~ 6m              | __           | 卫星影像           | NAIPdataset                                          | 2015     | 路易斯安那州立大学                                        | http://csc.lsu.edu/~saikat/deepsat/                          | https://aistudio.baidu.com/aistudio/datasetdetail/52534  |
-| [1-21](https://aistudio.baidu.com/aistudio/datasetdetail/52534) | [SAT 6](http://csc.lsu.edu/~saikat/deepsat/)                 | 图像分类   | 28 * 28                                | 4         | 405000   | 6      | mat      | mat             | 1~ 6m              | __           | 卫星影像           | NAIPdataset                                          | 2015     | 路易斯安那州立大学                                        | http://csc.lsu.edu/~saikat/deepsat/                          | https://aistudio.baidu.com/aistudio/datasetdetail/52534  |
-| [1-22](https://aistudio.baidu.com/aistudio/datasetdetail/51921) | [SIRI WHU   google](http://www.lmars.whu.edu.cn/prof_web/zhongyanfei/e-code.html) | 图像分类   | 200 * 200                              | 3         | 3400     | 12     | tif, dat | folder name     | 2m                 | __           | 卫星影像           | GoogleEarth                                          | 2016     | 武汉大学                                                  | http://www.lmars.whu.edu.cn/prof_web/zhongyanfei/e-code.html | https://aistudio.baidu.com/aistudio/datasetdetail/51921  |
-| [1-23](https://aistudio.baidu.com/aistudio/datasetdetail/51921) | [SIRI WHU USGS](http://www.lmars.whu.edu.cn/prof_web/zhongyanfei/e-code.html) | 图像分类   | 10000 * 9000                           | 3         | 1        | 4      | tif      | folder name     | 2foot              | __           | 卫星影像           | USGS                                                 | 2016     | 武汉大学                                                  | http://www.lmars.whu.edu.cn/prof_web/zhongyanfei/e-code.html | https://aistudio.baidu.com/aistudio/datasetdetail/51921  |
-| [1-24](https://aistudio.baidu.com/aistudio/datasetdetail/52487) | [RSI CB128](https://github.com/lehaifeng/RSI-CB)             | 图像分类   | 256 * 256                              | 3         | 36000    | 45     | tif      | folder name     | 0.3~ 3m            | __           | 卫星影像           | GoogleEarth, BingMap                                 | 2017     | 中南大学                                                  | https://github.com/lehaifeng/RSI-CB                          | https://aistudio.baidu.com/aistudio/datasetdetail/52487  |
-| [1-25](https://aistudio.baidu.com/aistudio/datasetdetail/52487) | [RSI CB256](https://github.com/lehaifeng/RSI-CB)             | 图像分类   | 256 * 256                              | 3         | 24000    | 35     | tif      | folder name     | 0.3~ 3m            | __           | 卫星影像           | GoogleEarth, BingMap                                 | 2017     | 中南大学                                                  | https://github.com/lehaifeng/RSI-CB                          | https://aistudio.baidu.com/aistudio/datasetdetail/52487  |
-| [1-26](https://aistudio.baidu.com/aistudio/datasetdetail/58013) | [Multi View   Datasets CV BrCT](http://www.patreo.dcc.ufmg.br/2020/07/22/multi-view-datasets/) | 图像分类   | 500 * 475                              | 3         | 48342    | 8      | png, tif | folder name     | __                 | __           | 航拍影像、卫星影像 | 航拍影像, 卫星影像                                   | 2020     | Federal University of Minas Gerais                        | http://www.patreo.dcc.ufmg.br/2020/07/22/multi-view-datasets/ | https://aistudio.baidu.com/aistudio/datasetdetail/58013  |
-| [1-27](https://aistudio.baidu.com/aistudio/datasetdetail/58760) | [Multi View   Datasets AiRound](http://www.patreo.dcc.ufmg.br/2020/07/22/multi-view-datasets/) | 图像分类   | 500 * 475                              | 3         | 13980    | 11     | tif      | folder name     | __                 | __           | 卫星影像           | Sentinel2等                                          | 2020     | Federal University of Minas Gerais                        | http://www.patreo.dcc.ufmg.br/2020/07/22/multi-view-datasets/ | https://aistudio.baidu.com/aistudio/datasetdetail/58760  |
-| 1-28                                                         | [braziliancoffeescenes](http://patreo.dcc.ufmg.br/2017/11/12/brazilian-coffee-scenes-dataset) | 图像分类   | 64 * 64                                | 3         | 2876     | __     | __       | __              | __                 | __           | 卫星影像           | SPOT传感器                                           | 2015     | 米纳斯联邦大学                                            | http://patreo.dcc.ufmg.br/2017/11/12/brazilian-coffee-scenes-dataset |                                                          |
-| 1-29                                                         | [Planet:   Understanding the Amazon from Space](https://www.kaggle.com/c/planet-understanding-the-amazon-from-space/data) | 图像分类   | 256 * 256                              | 3、4      | 40480    | __     | __       | __              | 3m                 | __           | 卫星影像           | plant传感器                                          | 2017     | Planet                                                    | https://www.kaggle.com/c/planet-understanding-the-amazon-from-space/data |                                                          |
-| 1-30                                                         | [rscupcls](http://rscup.bjxintong.com.cn/#/theme/1)          | 图像分类   | 512 * 512                              | 3         | 197121   | 45     | jpg      | folder name     | __                 | __           | __                 | __                                                   | 2019     | __                                                        | http://rscup.bjxintong.com.cn/#/theme/1                      |                                                          |
-| [1-31](https://aistudio.baidu.com/aistudio/datasetdetail/78849) | [MSTAR](https://www.kaggle.com/atreyamajumdar/mstar-dataset-8-classes) | 图像分类   | 368 * 368                              | 1         | 9466     | 8      | jpg      | folder name     | 0.3m               | __           | SAR                | STARLOSSAR                                           | 1996     | Defense Advanced Research Projects Agency                 | https://www.kaggle.com/atreyamajumdar/mstar-dataset-8-classes | https://aistudio.baidu.com/aistudio/datasetdetail/78849  |
+| [1-20](https://aistudio.baidu.com/aistudio/datasetdetail/139361) | [S2UC Dataset](https://www.scidb.cn/en/detail?dataSetId=14e27d8c51ec40079b84591e9bb24df6) | 图像分类   | 224 * 224                              | 3         | 1714     | 2      | npy      | npy             | __                 | __           | 卫星影像           | GoogleEarth                                          | 2021     | __                                                        | https://www.scidb.cn/en/detail?dataSetId=14e27d8c51ec40079b84591e9bb24df6 | https://aistudio.baidu.com/aistudio/datasetdetail/139361 |
+| [1-21](https://aistudio.baidu.com/aistudio/datasetdetail/52534) | [SAT 4](http://csc.lsu.edu/~saikat/deepsat/)                 | 图像分类   | 28 * 28                                | 4         | 500000   | 4      | mat      | mat             | 1~ 6m              | __           | 卫星影像           | NAIPdataset                                          | 2015     | 路易斯安那州立大学                                        | http://csc.lsu.edu/~saikat/deepsat/                          | https://aistudio.baidu.com/aistudio/datasetdetail/52534  |
+| [1-22](https://aistudio.baidu.com/aistudio/datasetdetail/52534) | [SAT 6](http://csc.lsu.edu/~saikat/deepsat/)                 | 图像分类   | 28 * 28                                | 4         | 405000   | 6      | mat      | mat             | 1~ 6m              | __           | 卫星影像           | NAIPdataset                                          | 2015     | 路易斯安那州立大学                                        | http://csc.lsu.edu/~saikat/deepsat/                          | https://aistudio.baidu.com/aistudio/datasetdetail/52534  |
+| [1-23](https://aistudio.baidu.com/aistudio/datasetdetail/51921) | [SIRI WHU   google](http://www.lmars.whu.edu.cn/prof_web/zhongyanfei/e-code.html) | 图像分类   | 200 * 200                              | 3         | 3400     | 12     | tif, dat | folder name     | 2m                 | __           | 卫星影像           | GoogleEarth                                          | 2016     | 武汉大学                                                  | http://www.lmars.whu.edu.cn/prof_web/zhongyanfei/e-code.html | https://aistudio.baidu.com/aistudio/datasetdetail/51921  |
+| [1-24](https://aistudio.baidu.com/aistudio/datasetdetail/51921) | [SIRI WHU USGS](http://www.lmars.whu.edu.cn/prof_web/zhongyanfei/e-code.html) | 图像分类   | 10000 * 9000                           | 3         | 1        | 4      | tif      | folder name     | 2foot              | __           | 卫星影像           | USGS                                                 | 2016     | 武汉大学                                                  | http://www.lmars.whu.edu.cn/prof_web/zhongyanfei/e-code.html | https://aistudio.baidu.com/aistudio/datasetdetail/51921  |
+| [1-25](https://aistudio.baidu.com/aistudio/datasetdetail/52487) | [RSI CB128](https://github.com/lehaifeng/RSI-CB)             | 图像分类   | 256 * 256                              | 3         | 36000    | 45     | tif      | folder name     | 0.3~ 3m            | __           | 卫星影像           | GoogleEarth, BingMap                                 | 2017     | 中南大学                                                  | https://github.com/lehaifeng/RSI-CB                          | https://aistudio.baidu.com/aistudio/datasetdetail/52487  |
+| [1-26](https://aistudio.baidu.com/aistudio/datasetdetail/52487) | [RSI CB256](https://github.com/lehaifeng/RSI-CB)             | 图像分类   | 256 * 256                              | 3         | 24000    | 35     | tif      | folder name     | 0.3~ 3m            | __           | 卫星影像           | GoogleEarth, BingMap                                 | 2017     | 中南大学                                                  | https://github.com/lehaifeng/RSI-CB                          | https://aistudio.baidu.com/aistudio/datasetdetail/52487  |
+| [1-27](https://aistudio.baidu.com/aistudio/datasetdetail/58013) | [Multi View   Datasets CV BrCT](http://www.patreo.dcc.ufmg.br/2020/07/22/multi-view-datasets/) | 图像分类   | 500 * 475                              | 3         | 48342    | 8      | png, tif | folder name     | __                 | __           | 航拍影像、卫星影像 | 航拍影像, 卫星影像                                   | 2020     | Federal University of Minas Gerais                        | http://www.patreo.dcc.ufmg.br/2020/07/22/multi-view-datasets/ | https://aistudio.baidu.com/aistudio/datasetdetail/58013  |
+| [1-28](https://aistudio.baidu.com/aistudio/datasetdetail/58760) | [Multi View   Datasets AiRound](http://www.patreo.dcc.ufmg.br/2020/07/22/multi-view-datasets/) | 图像分类   | 500 * 475                              | 3         | 13980    | 11     | tif      | folder name     | __                 | __           | 卫星影像           | Sentinel2等                                          | 2020     | Federal University of Minas Gerais                        | http://www.patreo.dcc.ufmg.br/2020/07/22/multi-view-datasets/ | https://aistudio.baidu.com/aistudio/datasetdetail/58760  |
+| 1-29                                                         | [braziliancoffeescenes](http://patreo.dcc.ufmg.br/2017/11/12/brazilian-coffee-scenes-dataset) | 图像分类   | 64 * 64                                | 3         | 2876     | __     | __       | __              | __                 | __           | 卫星影像           | SPOT传感器                                           | 2015     | 米纳斯联邦大学                                            | http://patreo.dcc.ufmg.br/2017/11/12/brazilian-coffee-scenes-dataset |                                                          |
+| 1-30                                                         | [Planet:   Understanding the Amazon from Space](https://www.kaggle.com/c/planet-understanding-the-amazon-from-space/data) | 图像分类   | 256 * 256                              | 3、4      | 40480    | __     | __       | __              | 3m                 | __           | 卫星影像           | plant传感器                                          | 2017     | Planet                                                    | https://www.kaggle.com/c/planet-understanding-the-amazon-from-space/data |                                                          |
+| 1-31                                                         | [rscupcls](http://rscup.bjxintong.com.cn/#/theme/1)          | 图像分类   | 512 * 512                              | 3         | 197121   | 45     | jpg      | folder name     | __                 | __           | __                 | __                                                   | 2019     | __                                                        | http://rscup.bjxintong.com.cn/#/theme/1                      |                                                          |
+| [1-32](https://aistudio.baidu.com/aistudio/datasetdetail/78849) | [MSTAR](https://www.kaggle.com/atreyamajumdar/mstar-dataset-8-classes) | 图像分类   | 368 * 368                              | 1         | 9466     | 8      | jpg      | folder name     | 0.3m               | __           | SAR                | STARLOSSAR                                           | 1996     | Defense Advanced Research Projects Agency                 | https://www.kaggle.com/atreyamajumdar/mstar-dataset-8-classes | https://aistudio.baidu.com/aistudio/datasetdetail/78849  |
 |                                                              |                                                              | __         | __                                     | __        | __       | __     | __       | __              | __                 | __           | __                 | __                                                   | __       | __                                                        |                                                              |                                                          |
 |                                                              |                                                              | __         | __                                     | __        | __       | __     | __       | __              | __                 | __           | __                 | __                                                   | __       | __                                                        |                                                              |                                                          |
 | [2-1](https://aistudio.baidu.com/aistudio/datasetdetail/53806) | [TAS](http://ai.stanford.edu/~gaheitz/Research/TAS/)         | 目标检测   | 792 * 636                              | 3         | 30       | 1      | .m       | HBB             | __                 | __           | 卫星影像           | GoogleEarth                                          | 2008     | 斯坦福大学                                                | http://ai.stanford.edu/~gaheitz/Research/TAS/                | https://aistudio.baidu.com/aistudio/datasetdetail/53806  |
@@ -55,21 +56,24 @@
 | [2-20](https://aistudio.baidu.com/aistudio/datasetdetail/131179) | [飞机目标识别-训练数据集](https://www.rsaicp.com/portal/dataDetail?id=34) | 目标检测   | 4096 * 4096                            | 3         | 430      | 11     | png      | OBB             | 0.5~ 1m            | __           | 卫星影像           | 国产自主产权系列卫星                                 | 2021     | 中科院                                                    | https://www.rsaicp.com/portal/dataDetail?id=34               | https://aistudio.baidu.com/aistudio/datasetdetail/131179 |
 | [2-21](https://aistudio.baidu.com/aistudio/datasetdetail/134218) | [船只智能检测-训练数据集](https://www.rsaicp.com/portal/dataDetail?id=35) | 目标检测   | 20000 * 20000                          | 3         | 25       | __     | png      | OBB             | 5m                 | __           | 卫星影像           | 国产自主产权系列卫星                                 | 2021     | 中科院                                                    | https://www.rsaicp.com/portal/dataDetail?id=35               | https://aistudio.baidu.com/aistudio/datasetdetail/134218 |
 | [2-22](https://aistudio.baidu.com/aistudio/datasetdetail/78453) | [FAIR1M](http://gaofen-challenge.com)                        | 目标检测   | 1000 * 100~100000 * 10000              | 3         | 15000    | 37     | tif      | OBB             | 0.3~ 0.8m          | __           | 卫星影像           | GF, GoogleEarth                                      | 2021     | 中科院                                                    | http://gaofen-challenge.com                                  | https://aistudio.baidu.com/aistudio/datasetdetail/78453  |
-| [2-23](https://aistudio.baidu.com/aistudio/datasetdetail/54054) | [VisDrone2019 DET](https://github.com/VisDrone/VisDrone-Dataset) | 目标检测   | 1000± * 1000±                          | 3         | 10209    | 10     | jpg      | HBB             | __                 | __           | 航拍影像           | 航拍影像                                             | 2018     | 天津大学                                                  | https://github.com/VisDrone/VisDrone-Dataset                 | https://aistudio.baidu.com/aistudio/datasetdetail/54054  |
-| [2-24](https://aistudio.baidu.com/aistudio/datasetdetail/53125) | [DOTA1.0](https://captain-whu.github.io/DOTA/index.html)     | 目标检测   | 800 * 800~4000 * 4000                  | 3         | 2806     | 15     | png      | OBB             | __                 | __           | 卫星影像           | GoogleEarth, GF2, JL0                                | 2018     | 武汉大学                                                  | https://captain-whu.github.io/DOTA/index.html                | https://aistudio.baidu.com/aistudio/datasetdetail/53125  |
-| [2-25](https://aistudio.baidu.com/aistudio/datasetdetail/53125) | [DOTA1.5](https://captain-whu.github.io/DOTA/index.html)     | 目标检测   | 800 * 800~4000 * 4000                  | 3         | 2806     | 16     | png      | OBB             | __                 | __           | 卫星影像           | GoogleEarth, GF2, JL1                                | 2019     | 武汉大学                                                  | https://captain-whu.github.io/DOTA/index.html                | https://aistudio.baidu.com/aistudio/datasetdetail/53125  |
-| [2-26](https://aistudio.baidu.com/aistudio/datasetdetail/53125) | [DOTA2.0](https://captain-whu.github.io/DOTA/index.html)     | 目标检测   | 800 * 800~20000 * 20000                | 3         | 11268    | 18     | png      | OBB             | __                 | __           | 卫星影像、航拍影像 | GoogleEarth, GF2, 航拍影像                           | 2021     | 武汉大学                                                  | https://captain-whu.github.io/DOTA/index.html                | https://aistudio.baidu.com/aistudio/datasetdetail/53125  |
-| 2-27                                                         | [COWC](https://gdo152.llnl.gov/cowc/)                        | 目标检测   | 2000 * 2000~19000 * 19000              | __        | 53       | __     | __       | onedot          | 0.15m              | __           | 卫星影像           | Utah                                                 | 2016     | 劳伦斯利弗莫尔国家实验室                                  | https://gdo152.llnl.gov/cowc/                                |                                                          |
-| 2-28                                                         | [Functional Map of theWorld Challenge](https://github.com/fMoW/dataset) | 目标检测   | __                                     | 4、8      | 31       | __     | __       | onedot          | __                 | __           | 卫星影像           | Utah                                                 | 2016     | 约翰霍普金斯大学应用物理实验室                            | https://github.com/fMoW/dataset                              |                                                          |
-| 2-29                                                         | [CARPK](https://lafi.github.io/LPN/)                         | 目标检测   | __                                     | __        | 1573     | __     | png      | __              | __                 | __           | 航拍影像           | 航拍影像                                             | 2017     | 台湾国立大学                                              | https://lafi.github.io/LPN/                                  |                                                          |
-| 2-30                                                         | [MAFAT   Challenge](https://competitions.codalab.org/competitions/19854) | 目标检测   | __                                     | __        | 4216     | __     | __       | HBB             | 0.05~ 0.15m        | __           | 航拍影像           | 航拍影像                                             | 2018     | yuvalsh                                                   | https://competitions.codalab.org/competitions/19854          |                                                          |
-| 2-31                                                         | [rscupdet](http://rscup.bjxintong.com.cn/#/theme/2)          | 目标检测   | 1024 * 1024                            | 3         | 2423     | __     | png      | OBB             | __                 | __           | 卫星影像           | __                                                   | 2019     | __                                                        | http://rscup.bjxintong.com.cn/#/theme/2                      |                                                          |
-| [2-32](https://aistudio.baidu.com/aistudio/datasetdetail/54806) | [SSDD](https://zhuanlan.zhihu.com/p/58404659)                | 目标检测   | 500 * 500                              | 1         | 1160     | 1      | jpg      | HBB, OBB        | 1~ 15m             | __           | SAR                | RadarSat2, TerraSARX, Sentinel1                      | 2017     | 海军航空大学                                              | https://zhuanlan.zhihu.com/p/58404659                        | https://aistudio.baidu.com/aistudio/datasetdetail/54806  |
-| [2-33](https://aistudio.baidu.com/aistudio/datasetdetail/77017) | [OpenSARShip](http://opensar.sjtu.edu.cn/)                   | 目标检测   | 1200 * 900                             | 1         | 41       | 1      | tif      | Chip            | __                 | __           | SAR                | Sentinel1                                            | 2017     | 上海交通大学                                              | http://opensar.sjtu.edu.cn/                                  | https://aistudio.baidu.com/aistudio/datasetdetail/77017  |
-| [2-34](https://aistudio.baidu.com/aistudio/datasetdetail/54512) | [HRSID](https://github.com/chaozhong2010/HRSID)              | 目标检测   | 800 * 800                              | 1         | 5604     | 1      | png      | HBB             | 0.5~ 3m            | __           | SAR                | Sentinel1B, TerraSARX, TEMX                          | 2020     | 电子科技大学                                              | https://github.com/chaozhong2010/HRSID                       | https://aistudio.baidu.com/aistudio/datasetdetail/54512  |
-| [2-35](https://aistudio.baidu.com/aistudio/datasetdetail/54270) | [AIR   SARShip1.0](https://radars.ac.cn/web/data/getData?newsColumnId=abd5c1b2-fe65-47f7-8ebf-990273a91a48) | 目标检测   | 3000 * 3000                            | 1         | 31       | 1      | tiff     | HBB             | 1~ 3m              | __           | SAR                | GF3                                                  | 2019     | 《雷达学报》编辑部                                        | https://radars.ac.cn/web/data/getData?newsColumnId=abd5c1b2-fe65-47f7-8ebf-990273a91a48 | https://aistudio.baidu.com/aistudio/datasetdetail/54270  |
-| [2-36](https://aistudio.baidu.com/aistudio/datasetdetail/54270) | [AIR   SARShip2.0](https://radars.ac.cn/web/data/getData?newsColumnId=1e6ecbcc-266d-432c-9c8a-0b9a922b5e85) | 目标检测   | 1000 * 1000                            | 1         | 300      | 1      | tiff     | HBB             | 1~ 3m              | __           | SAR                | GF3                                                  | 2020     | 《雷达学报》编辑部                                        | https://radars.ac.cn/web/data/getData?newsColumnId=1e6ecbcc-266d-432c-9c8a-0b9a922b5e85 | https://aistudio.baidu.com/aistudio/datasetdetail/54270  |
-| 2-37                                                         | [gf2021 高分辨率SAR图像中近海养殖场分割数据集](http://sw.chreos.org/challenge/dataset/4) | 目标检测   | 600 * 600, 1024 * 1024, 2048 * 2048,   | 1         | 300+     | 6      | tif      | HBB             | 1m                 | __           | SAR                | GF3                                                  | 2021     | 中科院                                                    | http://sw.chreos.org/challenge/dataset/4                     |                                                          |
+| [2-23](https://aistudio.baidu.com/aistudio/datasetdetail/137865) | [VISO-Detection](https://satvideodt.github.io/)              | 目标检测   | 1000 * 1000                            | 3         | 32825    | 4      | jpg      | HBB             | 0.5~ 1.1m          | __           | 卫星影像           | JL1                                                  | 2021     | 国防科技大学                                              | https://satvideodt.github.io/                                | https://aistudio.baidu.com/aistudio/datasetdetail/137865 |
+| [2-24](https://aistudio.baidu.com/aistudio/datasetdetail/54054) | [VisDrone2019 DET](https://github.com/VisDrone/VisDrone-Dataset) | 目标检测   | 1000± * 1000±                          | 3         | 10209    | 10     | jpg      | HBB             | __                 | __           | 航拍影像           | 航拍影像                                             | 2018     | 天津大学                                                  | https://github.com/VisDrone/VisDrone-Dataset                 | https://aistudio.baidu.com/aistudio/datasetdetail/54054  |
+| [2-25](https://aistudio.baidu.com/aistudio/datasetdetail/137265) | [VisDrone2019-VID](https://github.com/VisDrone/VisDrone-Dataset) | 目标检测   | 1000± * 1000±                          | 3         | 40000+   | 10     | jpg      | HBB             | __                 | __           | 航拍影像           | 航拍影像                                             | 2018     | 天津大学                                                  | https://github.com/VisDrone/VisDrone-Dataset                 | https://aistudio.baidu.com/aistudio/datasetdetail/137265 |
+| [2-26](https://aistudio.baidu.com/aistudio/datasetdetail/137691) | [DroneCrowd](https://github.com/VisDrone/VisDrone-Dataset)   | 目标检测   | 640*512                                | 3         | 1807     | 1      | jpg      | __              | __                 | __           | 航拍影像           | 航拍影像                                             | 2020     | 天津大学                                                  | https://github.com/VisDrone/VisDrone-Dataset                 | https://aistudio.baidu.com/aistudio/datasetdetail/137691 |
+| [2-27](https://aistudio.baidu.com/aistudio/datasetdetail/53125) | [DOTA1.0](https://captain-whu.github.io/DOTA/index.html)     | 目标检测   | 800 * 800~4000 * 4000                  | 3         | 2806     | 15     | png      | OBB             | __                 | __           | 卫星影像           | GoogleEarth, GF2, JL0                                | 2018     | 武汉大学                                                  | https://captain-whu.github.io/DOTA/index.html                | https://aistudio.baidu.com/aistudio/datasetdetail/53125  |
+| [2-28](https://aistudio.baidu.com/aistudio/datasetdetail/53125) | [DOTA1.5](https://captain-whu.github.io/DOTA/index.html)     | 目标检测   | 800 * 800~4000 * 4000                  | 3         | 2806     | 16     | png      | OBB             | __                 | __           | 卫星影像           | GoogleEarth, GF2, JL1                                | 2019     | 武汉大学                                                  | https://captain-whu.github.io/DOTA/index.html                | https://aistudio.baidu.com/aistudio/datasetdetail/53125  |
+| [2-29](https://aistudio.baidu.com/aistudio/datasetdetail/53125) | [DOTA2.0](https://captain-whu.github.io/DOTA/index.html)     | 目标检测   | 800 * 800~20000 * 20000                | 3         | 11268    | 18     | png      | OBB             | __                 | __           | 卫星影像、航拍影像 | GoogleEarth, GF2, 航拍影像                           | 2021     | 武汉大学                                                  | https://captain-whu.github.io/DOTA/index.html                | https://aistudio.baidu.com/aistudio/datasetdetail/53125  |
+| 2-30                                                         | [COWC](https://gdo152.llnl.gov/cowc/)                        | 目标检测   | 2000 * 2000~19000 * 19000              | __        | 53       | __     | __       | onedot          | 0.15m              | __           | 卫星影像           | Utah                                                 | 2016     | 劳伦斯利弗莫尔国家实验室                                  | https://gdo152.llnl.gov/cowc/                                |                                                          |
+| 2-31                                                         | [Functional Map of theWorld Challenge](https://github.com/fMoW/dataset) | 目标检测   | __                                     | 4、8      | 31       | __     | __       | onedot          | __                 | __           | 卫星影像           | Utah                                                 | 2016     | 约翰霍普金斯大学应用物理实验室                            | https://github.com/fMoW/dataset                              |                                                          |
+| 2-32                                                         | [CARPK](https://lafi.github.io/LPN/)                         | 目标检测   | __                                     | __        | 1573     | __     | png      | __              | __                 | __           | 航拍影像           | 航拍影像                                             | 2017     | 台湾国立大学                                              | https://lafi.github.io/LPN/                                  |                                                          |
+| 2-33                                                         | [MAFAT   Challenge](https://competitions.codalab.org/competitions/19854) | 目标检测   | __                                     | __        | 4216     | __     | __       | HBB             | 0.05~ 0.15m        | __           | 航拍影像           | 航拍影像                                             | 2018     | yuvalsh                                                   | https://competitions.codalab.org/competitions/19854          |                                                          |
+| 2-34                                                         | [rscupdet](http://rscup.bjxintong.com.cn/#/theme/2)          | 目标检测   | 1024 * 1024                            | 3         | 2423     | __     | png      | OBB             | __                 | __           | 卫星影像           | __                                                   | 2019     | __                                                        | http://rscup.bjxintong.com.cn/#/theme/2                      |                                                          |
+| [2-35](https://aistudio.baidu.com/aistudio/datasetdetail/54806) | [SSDD](https://zhuanlan.zhihu.com/p/58404659)                | 目标检测   | 500 * 500                              | 1         | 1160     | 1      | jpg      | HBB, OBB        | 1~ 15m             | __           | SAR                | RadarSat2, TerraSARX, Sentinel1                      | 2017     | 海军航空大学                                              | https://zhuanlan.zhihu.com/p/58404659                        | https://aistudio.baidu.com/aistudio/datasetdetail/54806  |
+| [2-36](https://aistudio.baidu.com/aistudio/datasetdetail/77017) | [OpenSARShip](http://opensar.sjtu.edu.cn/)                   | 目标检测   | 1200 * 900                             | 1         | 41       | 1      | tif      | Chip            | __                 | __           | SAR                | Sentinel1                                            | 2017     | 上海交通大学                                              | http://opensar.sjtu.edu.cn/                                  | https://aistudio.baidu.com/aistudio/datasetdetail/77017  |
+| [2-37](https://aistudio.baidu.com/aistudio/datasetdetail/54512) | [HRSID](https://github.com/chaozhong2010/HRSID)              | 目标检测   | 800 * 800                              | 1         | 5604     | 1      | png      | HBB             | 0.5~ 3m            | __           | SAR                | Sentinel1B, TerraSARX, TEMX                          | 2020     | 电子科技大学                                              | https://github.com/chaozhong2010/HRSID                       | https://aistudio.baidu.com/aistudio/datasetdetail/54512  |
+| [2-38](https://aistudio.baidu.com/aistudio/datasetdetail/54270) | [AIR   SARShip1.0](https://radars.ac.cn/web/data/getData?newsColumnId=abd5c1b2-fe65-47f7-8ebf-990273a91a48) | 目标检测   | 3000 * 3000                            | 1         | 31       | 1      | tiff     | HBB             | 1~ 3m              | __           | SAR                | GF3                                                  | 2019     | 《雷达学报》编辑部                                        | https://radars.ac.cn/web/data/getData?newsColumnId=abd5c1b2-fe65-47f7-8ebf-990273a91a48 | https://aistudio.baidu.com/aistudio/datasetdetail/54270  |
+| [2-39](https://aistudio.baidu.com/aistudio/datasetdetail/54270) | [AIR   SARShip2.0](https://radars.ac.cn/web/data/getData?newsColumnId=1e6ecbcc-266d-432c-9c8a-0b9a922b5e85) | 目标检测   | 1000 * 1000                            | 1         | 300      | 1      | tiff     | HBB             | 1~ 3m              | __           | SAR                | GF3                                                  | 2020     | 《雷达学报》编辑部                                        | https://radars.ac.cn/web/data/getData?newsColumnId=1e6ecbcc-266d-432c-9c8a-0b9a922b5e85 | https://aistudio.baidu.com/aistudio/datasetdetail/54270  |
+| 2-40                                                         | [gf2021 高分辨率SAR图像中近海养殖场分割数据集](http://sw.chreos.org/challenge/dataset/4) | 目标检测   | 600 * 600, 1024 * 1024, 2048 * 2048,   | 1         | 300+     | 6      | tif      | HBB             | 1m                 | __           | SAR                | GF3                                                  | 2021     | 中科院                                                    | http://sw.chreos.org/challenge/dataset/4                     |                                                          |
 |                                                              |                                                              | __         | __                                     | __        | __       | __     | __       | __              | __                 | __           | __                 | __                                                   | __       | __                                                        |                                                              |                                                          |
 |                                                              |                                                              | __         | __                                     | __        | __       | __     | __       | __              | __                 | __           | __                 | __                                                   | __       | __                                                        |                                                              |                                                          |
 | [3-1](https://aistudio.baidu.com/aistudio/datasetdetail/100009) | [SPARCS](https://www.usgs.gov/core-science-systems/nli/landsat/spatial-procedures-automated-removal-cloud-and-shadow-sparcs) | 图像分割   | 1000 * 1000                            | 10        | 80       | 7      | tif      | png             | 30m                | __           | 卫星影像           | Landsat8                                             | 2014     | University of Tennessee Knoxville                         | https://www.usgs.gov/core-science-systems/nli/landsat/spatial-procedures-automated-removal-cloud-and-shadow-sparcs | https://aistudio.baidu.com/aistudio/datasetdetail/100009 |
@@ -81,64 +85,67 @@
 | 3-7                                                          | [Inria Aerial Image Labeling Dataset](https://project.inria.fr/aerialimagelabeling/) | 图像分割   | 5000 * 5000                            | 3         | 180      | 1      | tif      | tif             | 0.3m               | __           | 航拍影像           | 航拍影像                                             | 2017     | Inria Sophia Antipolis-Mediterranee                       | https://project.inria.fr/aerialimagelabeling/                |                                                          |
 | [3-8](https://aistudio.baidu.com/aistudio/datasetdetail/55589) | [WHDLD](https://sites.google.com/view/zhouwx/dataset#h.p_hQS2jYeaFpV0) | 图像分割   | 256 * 256                              | 3         | 4940     | 6      | png      | png             | __                 | __           | 卫星影像           | UCMerced                                             | 2018     | 武汉大学                                                  | https://sites.google.com/view/zhouwx/dataset#h.p_hQS2jYeaFpV0 | https://aistudio.baidu.com/aistudio/datasetdetail/55589  |
 | [3-9](https://aistudio.baidu.com/aistudio/datasetdetail/55005) | [DLRSD](https://sites.google.com/view/zhouwx/dataset#h.p_hQS2jYeaFpV0) | 图像分割   | 256 * 256                              | 3         | 2100     | 17     | tif      | png             | 1foot              | __           | 卫星影像           | USGS National Map                                    | 2018     | 武汉大学                                                  | https://sites.google.com/view/zhouwx/dataset#h.p_hQS2jYeaFpV0 | https://aistudio.baidu.com/aistudio/datasetdetail/55005  |
-| [3-10](https://aistudio.baidu.com/aistudio/datasetdetail/55222) | [Aeroscapes](https://github.com/ishann/aeroscapes)           | 图像分割   | 720 * 720                              | 3         | 3269     | 11     | jpg      | png             | __                 | __           | 航拍影像           | 航拍影像                                             | 2018     | Carnegie Mellon University                                | https://github.com/ishann/aeroscapes                         | https://aistudio.baidu.com/aistudio/datasetdetail/55222  |
-| [3-11](https://aistudio.baidu.com/aistudio/datasetdetail/74274) | [AIRS](https://www.airs-dataset.com/)                        | 图像分割   | 10000 * 10000                          | 3         | 190      | 1      | tif      | tif             | 0.075m             | __           | 航拍影像           | LINZ Data Service                                    | 2018     | University of Tokyo                                       | https://www.airs-dataset.com/                                | https://aistudio.baidu.com/aistudio/datasetdetail/74274  |
-| [3-12](https://aistudio.baidu.com/aistudio/datasetdetail/98991) | [RIT 18](https://github.com/rmkemker/RIT-18)                 | 图像分割   | 9393 * 5642、8833 * 6918、12446 * 7654 | 7         | 3        | 18     | mat      | npy             | 0.047m             | __           | 卫星影像           | Tetracam MicroMCA6                                   | 2018     | Rochester Institute of Technology                         | https://github.com/rmkemker/RIT-18                           | https://aistudio.baidu.com/aistudio/datasetdetail/98991  |
-| [3-13](https://aistudio.baidu.com/aistudio/datasetdetail/79283) | [Drone Deploy](https://github.com/dronedeploy/dd-ml-segmentation-benchmark) | 图像分割   | 6000± * 6000±                          | 3         | 55       | 7      | tif      | png             | 0.1m               | __           | 航拍影像           | drones                                               | 2019     | Drone Deploy                                              | https://github.com/dronedeploy/dd-ml-segmentation-benchmark  | https://aistudio.baidu.com/aistudio/datasetdetail/79283  |
-| [3-14](https://aistudio.baidu.com/aistudio/datasetdetail/74848) | [Road Tracer](https://github.com/mitroadmaps/roadtracer/)    | 图像分割   | 4096 * 4096                            | 3         | 3000     | 1      | png      | png             | 0.6m               | __           | 卫星影像           | Googleearth, OSM                                     | 2019     | MIT                                                       | https://github.com/mitroadmaps/roadtracer/                   | https://aistudio.baidu.com/aistudio/datasetdetail/74848  |
-| [3-15](https://aistudio.baidu.com/aistudio/datasetdetail/121515) | [Bijie Landslide Dataset](http://gpcv.whu.edu.cn/data/Bijie_pages.html) | 图像分割   | 200± * 200±                            | 3         | 771      | 1      | png      | png             | 0.68m              | __           | 卫星影像           | TripleSat                                            | 2019     | 武汉大学                                                  | http://gpcv.whu.edu.cn/data/Bijie_pages.html                 | https://aistudio.baidu.com/aistudio/datasetdetail/121515 |
-| [3-16](https://aistudio.baidu.com/aistudio/datasetdetail/135648) | [GF2 Dataset for 3DFGC](http://gpcv.whu.edu.cn/data/3DFGC_pages.html) | 图像分割   | 1417 * 2652 , 1163 * 2120              | 4         | 11       | 5      | tif      | tif             | 4m                 | __           | 卫星影像           | GF2                                                  | 2019     | 武汉大学                                                  | http://gpcv.whu.edu.cn/data/3DFGC_pages.html                 | https://aistudio.baidu.com/aistudio/datasetdetail/135648 |
-| [3-17](https://aistudio.baidu.com/aistudio/datasetdetail/134732) | [Semantic Drone Dataset](http://dronedataset.icg.tugraz.at)  | 图像分割   | 6000 * 4000                            | 3         | 400      | 22     | png      | png             | __                 | __           | 航拍影像           | 航拍影像                                             | 2019     | Graz University of Technology                             | http://dronedataset.icg.tugraz.at                            | https://aistudio.baidu.com/aistudio/datasetdetail/134732 |
-| [3-18](https://aistudio.baidu.com/aistudio/datasetdetail/136174) | [WHU Cloud   Dataset](http://gpcv.whu.edu.cn/data/WHU_Cloud_Dataset.html) | 图像分割   | 512 * 512                              | 3         | 730      | 1      | tif      | tif             | __                 | __           | 卫星影像           | Landsat 8                                            | 2020     | 武汉大学                                                  | http://gpcv.whu.edu.cn/data/WHU_Cloud_Dataset.html           | https://aistudio.baidu.com/aistudio/datasetdetail/136174 |
-| [3-19](https://aistudio.baidu.com/aistudio/datasetdetail/76629) | [Land Cover from Aerial Imagery (landcover_ai)](https://landcover.ai/) | 图像分割   | 9000 * 9500、4200 * 4700               | 3         | 41       | 3      | tif      | tif             | 0.25~ 0.5m         | __           | 航拍影像           | 航拍影像                                             | 2020     | linuxpols                                                 | https://landcover.ai/                                        | https://aistudio.baidu.com/aistudio/datasetdetail/76629  |
-| [3-20](https://aistudio.baidu.com/aistudio/datasetdetail/55774) | [UAVid](https://www.uavid.nl/)                               | 图像分割   | 4096 * 2160、3840 * 2160               | 3         | 300      | 8      | png      | png             | __                 | __           | 航拍影像           | 航拍影像                                             | 2020     | University of Twente                                      | https://www.uavid.nl/                                        | https://aistudio.baidu.com/aistudio/datasetdetail/55774  |
-| [3-21](https://aistudio.baidu.com/aistudio/datasetdetail/51568) | [AI + 遥感影像](https://www.datafountain.cn/competitions/457) | 图像分割   | 256 * 256                              | 3         | 100000   | 8、17  | tif      | tif, png        | 0.1~ 4m            | __           | 卫星影像           | GF1, GF2, GF6, GJ2, BJ2, 航拍影像                    | 2020     | 全国人工智能大赛组委会                                    | https://www.datafountain.cn/competitions/457                 | https://aistudio.baidu.com/aistudio/datasetdetail/51568  |
-| [3-22](https://aistudio.baidu.com/aistudio/datasetdetail/56051) | [BDCI2020](https://www.datafountain.cn/competitions/475)     | 图像分割   | 256 * 256                              | 3         | 145981   | 7      | jpg      | png             | __                 | __           | 卫星影像           | __                                                   | 2020     | BDCI                                                      | https://www.datafountain.cn/competitions/475                 | https://aistudio.baidu.com/aistudio/datasetdetail/56051  |
-| [3-23](https://aistudio.baidu.com/aistudio/datasetdetail/70361) | [mini Inria   Aerial Image Labeling Dataset](https://tianchi.aliyun.com/competition/entrance/531872/introduction) | 图像分割   | 512 * 512                              | 3         | 32500    | 1      | jpg      | csv             | 0.3m               | __           | 航拍影像           | 航拍影像                                             | 2021     | 天池大赛                                                  | https://tianchi.aliyun.com/competition/entrance/531872/introduction | https://aistudio.baidu.com/aistudio/datasetdetail/70361  |
-| [3-24](https://aistudio.baidu.com/aistudio/datasetdetail/121200) | [LoveDA](https://github.com/Junjue-Wang/LoveDA)              | 图像分割   | 1024 * 1024                            | 3         | 5987     | 7      | png      | png             | 0.3m               | __           | 卫星影像           | GoogleEarth                                          | 2021     | 武汉大学                                                  | https://github.com/Junjue-Wang/LoveDA                        | https://aistudio.baidu.com/aistudio/datasetdetail/121200 |
-| [3-25](https://aistudio.baidu.com/aistudio/datasetdetail/129225) | [MiniFrance-DFC22](https://www.grss-ieee.org/community/technical-committees/2022-ieee-grss-data-fusion-contest/) | 图像分割   | 2000±* 2000±                           | 3         | 2322     | 15     | tif      | tif             | __                 | __           | 航拍影像           | 航拍影像                                             | 2022     | IADF TC                                                   | https://www.grss-ieee.org/community/technical-committees/2022-ieee-grss-data-fusion-contest/ | https://aistudio.baidu.com/aistudio/datasetdetail/129225 |
-| [3-26](https://aistudio.baidu.com/aistudio/datasetdetail/56961) | [Massachusetts Roads](https://www.cs.toronto.edu/~vmnih/data/) | 图像分割   | 1500 * 1500                            | 3         | 804      | 1      | png      | png             | 1m                 | __           | 航拍影像           | 航拍影像                                             | 2013     | University of Toronto                                     | https://www.cs.toronto.edu/~vmnih/data/                      | https://aistudio.baidu.com/aistudio/datasetdetail/56961  |
-| [3-27](https://aistudio.baidu.com/aistudio/datasetdetail/57019) | [Massachusetts Builds](https://www.cs.toronto.edu/~vmnih/data/) | 图像分割   | 1500 * 1500                            | 3         | 151      | 1      | png      | png             | 1m                 | __           | 航拍影像           | 航拍影像                                             | 2013     | University of Toronto                                     | https://www.cs.toronto.edu/~vmnih/data/                      | https://aistudio.baidu.com/aistudio/datasetdetail/57019  |
-| [3-28](https://aistudio.baidu.com/aistudio/datasetdetail/55681) | [Deep Globe Land Cover Classification   Challenge](http://deepglobe.org/challenge.html) | 图像分割   | 2448 * 2448                            | 3         | 803      | 7      | jpg      | png             | 0.5m               | __           | 卫星影像           | DigitalGlobe                                         | 2018     | CVPR                                                      | http://deepglobe.org/challenge.html                          | https://aistudio.baidu.com/aistudio/datasetdetail/55681  |
-| [3-29](https://aistudio.baidu.com/aistudio/datasetdetail/55682) | [Deep Globe Road Detection Challenge](http://deepglobe.org/challenge.html) | 图像分割   | 1024 * 1024                            | 3、14     | 6226     | 1      | jpg      | png             | 0.5m               | __           | 卫星影像           | DigitalGlobe                                         | 2018     | CVPR                                                      | http://deepglobe.org/challenge.html                          | https://aistudio.baidu.com/aistudio/datasetdetail/55682  |
-| [3-30](https://aistudio.baidu.com/aistudio/datasetdetail/56341) | [WHU Building   Dataset, Satellite datasetⅠ   (globalcities)](https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html) | 图像分割   | 512 * 512                              | 3         | 204      | 1      | tif      | tif             | 0.3~ 2.5m          | __           | 卫星影像           | QuickBird, Worldviewseries, IKONOS, ZY3              | 2019     | 武汉大学                                                  | https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html | https://aistudio.baidu.com/aistudio/datasetdetail/56341  |
-| [3-31](https://aistudio.baidu.com/aistudio/datasetdetail/56356) | [WHU Building   Dataset, Satellite datasetⅡ (EastAsia)](https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html) | 图像分割   | 512 * 512                              | 3         | 17388    | 1      | tif      | tif             | 0.45m              | __           | 卫星影像           | __                                                   | 2019     | 武汉大学                                                  | https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html | https://aistudio.baidu.com/aistudio/datasetdetail/56356  |
-| [3-32](https://aistudio.baidu.com/aistudio/datasetdetail/56502) | [WHU Building   Dataset, Aerial imagery dataset](https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html) | 图像分割   | 512 * 512                              | 3         | 8189     | 1      | tif      | tif             | 0.3m               | __           | 卫星影像           | __                                                   | 2019     | 武汉大学                                                  | https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html | https://aistudio.baidu.com/aistudio/datasetdetail/56502  |
-| [3-33](https://aistudio.baidu.com/aistudio/datasetdetail/98275) | [ORSSD](https://github.com/rmcong/ORSSD-dataset)             | 图像分割   | 500± * 500±                            | 3         | 800      | 8      | jpg      | png             | __                 | __           | 卫星影像           | GoogleEarth                                          | 2019     | 北京交通大学                                              | https://github.com/rmcong/ORSSD-dataset                      | https://aistudio.baidu.com/aistudio/datasetdetail/98275  |
-| [3-34](https://aistudio.baidu.com/aistudio/datasetdetail/98372) | [EORSSD](https://hub.fastgit.org/rmcong/EORSSD-dataset]https:/hub.fastgit.org/rmcong/EORSSD-dataset) | 图像分割   | 500± * 500±                            | 3         | 2000     | 8      | jpg      | png             | __                 | __           | 卫星影像           | GoogleEarth                                          | 2020     | 北京交通大学                                              | [https://hub.fastgit.org/rmcong/EORSSD-dataset\]https://hub.fastgit.org/rmcong/EORSSD-dataset](https://hub.fastgit.org/rmcong/EORSSD-dataset]https:/hub.fastgit.org/rmcong/EORSSD-dataset) | https://aistudio.baidu.com/aistudio/datasetdetail/98372  |
-| [3-35](https://aistudio.baidu.com/aistudio/datasetdetail/56236) | [38 Cloud: A   Cloud Segmentation Dataset](https://github.com/SorourMo/38-Cloud-A-Cloud-Segmentation-Dataset) | 图像分割   | 384 * 384                              | 4         | 8400     | 1      | tif      | tif             | 30m                | __           | 卫星影像           | Landsat8                                             | 2018     | Science Simon Fraser University                           | https://github.com/SorourMo/38-Cloud-A-Cloud-Segmentation-Dataset | https://aistudio.baidu.com/aistudio/datasetdetail/56236  |
-| [3-36](https://aistudio.baidu.com/aistudio/datasetdetail/56839) | [95 Cloud: An Extension to 38 Cloud Dataset](https://github.com/SorourMo/95-Cloud-An-Extension-to-38-Cloud-Dataset) | 图像分割   | 384 * 384                              | 4         | 34701    | 1      | tif      | tif             | 30m                | __           | 卫星影像           | Landsat8                                             | 2020     | Simon Fraser University                                   | https://github.com/SorourMo/95-Cloud-An-Extension-to-38-Cloud-Dataset | https://aistudio.baidu.com/aistudio/datasetdetail/56839  |
-| [3-37](https://aistudio.baidu.com/aistudio/datasetdetail/55153) | [Postdam](https://www2.isprs.org/commissions/comm2/wg4/benchmark/semantic-labeling/) | 图像分割   | 6000 * 6000                            | 3         | 38       | 6      | tif      | tif             | 0.05m              | __           | 航拍影像           | 航拍影像                                             | 2012     | ISPRS                                                     | https://www2.isprs.org/commissions/comm2/wg4/benchmark/semantic-labeling/ | https://aistudio.baidu.com/aistudio/datasetdetail/55153  |
-| [3-38](https://aistudio.baidu.com/aistudio/datasetdetail/55408) | [Vaihingen](https://www2.isprs.org/commissions/comm2/wg4/benchmark/semantic-labeling/) | 图像分割   | 2000± * 2000±                          | 3         | 33       | 6      | tif      | tif             | 0.09m              | __           | 航拍影像           | 航拍影像                                             | 2012     | ISPRS                                                     | https://www2.isprs.org/commissions/comm2/wg4/benchmark/semantic-labeling/ | https://aistudio.baidu.com/aistudio/datasetdetail/55408  |
-| [3-39](https://aistudio.baidu.com/aistudio/datasetdetail/54878) | [GID Fine Land cover Classification   15 classes](https://x-ytong.github.io/project/GID.html) | 图像分割   | 7200 * 6800                            | 3、4      | 10       | 5      | tif      | tif             | 0.8~ 10m           | __           | 卫星影像           | GF2号                                                | 2018     | 武汉大学                                                  | https://x-ytong.github.io/project/GID.html                   | https://aistudio.baidu.com/aistudio/datasetdetail/54878  |
-| [3-40](https://aistudio.baidu.com/aistudio/datasetdetail/54934) | [GID Large scale Classification 5   classes](https://x-ytong.github.io/project/GID.html) | 图像分割   | 7200 * 6800                            | 3、4      | 150      | 15     | tif      | tif             | 0.8~ 10m           | __           | 卫星影像           | GF2, GF1, JL1, ZY3, Sentinel2A, GoogleEarth          | 2018     | 武汉大学                                                  | https://x-ytong.github.io/project/GID.html                   | https://aistudio.baidu.com/aistudio/datasetdetail/54934  |
-| [3-41](https://aistudio.baidu.com/aistudio/datasetdetail/75675) | [UDD5](https://github.com/MarcWong/UDD)                      | 图像分割   | 4096± * 2160±                          | 3         | 160      | 5      | png      | png             | __                 | __           | 航拍影像           | DJIPhantom4                                          | 2018     | 北京大学                                                  | https://github.com/MarcWong/UDD                              | https://aistudio.baidu.com/aistudio/datasetdetail/75675  |
-| [3-42](https://aistudio.baidu.com/aistudio/datasetdetail/75675) | [UDD6](https://github.com/MarcWong/UDD)                      | 图像分割   | 4096± * 2160±                          | 3         | 141      | 6      | png      | png             | __                 | __           | 航拍影像           | DJIPhantom4                                          | 2018     | 北京大学                                                  | https://github.com/MarcWong/UDD                              | https://aistudio.baidu.com/aistudio/datasetdetail/75675  |
-| [3-43](https://aistudio.baidu.com/aistudio/datasetdetail/57579) | [BH POOLS](http://www.patreo.dcc.ufmg.br/2020/07/29/bh-pools-watertanks-datasets/) | 图像分割   | 3840 * 2160                            | 3         | 200      | 1      | jpg      | png             | __                 | __           | 卫星影像           | GoogleEarth                                          | 2020     | Federal University of Minas Gerais                        | http://www.patreo.dcc.ufmg.br/2020/07/29/bh-pools-watertanks-datasets/ | https://aistudio.baidu.com/aistudio/datasetdetail/57579  |
-| [3-44](https://aistudio.baidu.com/aistudio/datasetdetail/57579) | [BH WATERTANKS](http://www.patreo.dcc.ufmg.br/2020/07/29/bh-pools-watertanks-datasets/) | 图像分割   | 3840 * 2160                            | 3         | 200      | 1      | jpg      | png             | __                 | __           | 卫星影像           | GoogleEarth                                          | 2020     | Federal University of Minas Gerais                        | http://www.patreo.dcc.ufmg.br/2020/07/29/bh-pools-watertanks-datasets/ | https://aistudio.baidu.com/aistudio/datasetdetail/57579  |
-| 3-45                                                         | [BDCI2017](https://www.datafountain.cn/competitions/270)     | 图像分割   | 8000± * 8000±                          | 3         | 5        | 5      | png      | png             | __                 | __           | __                 | __                                                   | 2017     | __                                                        | https://www.datafountain.cn/competitions/270                 |                                                          |
-| 3-46                                                         | [Deep Globe Building Extraction   Challenge](http://deepglobe.org/challenge.html) | 图像分割   | 650 * 650                              | 8         | 254586   | 1      | tif      | tif             | 1.24m              | __           | 卫星影像           | WorldView3                                           | 2018     | CVPR                                                      | http://deepglobe.org/challenge.html                          |                                                          |
-| [3-47](https://aistudio.baidu.com/aistudio/datasetdetail/135044) | [Barley Remote   Sensing Dataset](https://tianchi.aliyun.com/competition/entrance/231717/information) | 图像分割   | 47161 * 50141,   77470* 40650          | 3         | 2        | 4      | png      | png             | __                 | __           | 航拍影像           | 航拍影像                                             | 2019     | __                                                        | https://tianchi.aliyun.com/competition/entrance/231717/information | https://aistudio.baidu.com/aistudio/datasetdetail/135044 |
-| 3-48                                                         | [rscupseg](http://rscup.bjxintong.com.cn/#/theme/3)          | 图像分割   | 7200 * 6800                            | 4         | 20       | 6      | tif      | tif             | 4m                 | __           | 卫星影像           | GF2                                                  | 2019     | __                                                        | http://rscup.bjxintong.com.cn/#/theme/3                      |                                                          |
-| 3-49                                                         | [2020数字中国创新大赛](https://tianchi.aliyun.com/competition/entrance/231767/introduction) | 图像分割   | 4000± * 4000±                          | 3         | 8        | 1      | tif      | tif             | 0.8m               | __           | 卫星影像           | GF2                                                  | 2020     | __                                                        | https://tianchi.aliyun.com/competition/entrance/231767/introduction |                                                          |
-| 3-50                                                         | [“华为云杯”2020人工智能创新应用大赛](https://competition.huaweicloud.com/information/1000041322/circumstance?track=107) | 图像分割   | 10391 * 33106、34612 * 29810           | 3         | 2        | 1      | png      | png             | 0.8m               | __           | 卫星影像           | BJ2                                                  | 2020     | __                                                        | https://competition.huaweicloud.com/information/1000041322/circumstance?track=107 |                                                          |
-| 3-51                                                         | [2021全国数字生态创新大赛](https://tianchi.aliyun.com/competition/entrance/531860/rankingList) | 图像分割   | 256 * 256                              | 4         | 16017    | __     | tif      | tif             | 0.8~ 2m            | __           | 卫星影像           | GF                                                   | 2021     | 浙江大学                                                  | https://tianchi.aliyun.com/competition/entrance/531860/rankingList |                                                          |
-| 3-52                                                         | [LRSNY](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9333652) | 图像分割   | 1000 * 1000                            | 3         | 1368     | __     | __       | __              | 0.5m               | __           | 卫星影像           | __                                                   | 2021     | IEEE                                                      | https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9333652 |                                                          |
-| 3-53                                                         | [gf2021 面向海洋一号可见光图像中海冰目标监测数据集](http://sw.chreos.org/challenge/dataset/5) | 图像分割   | 512 * 512                              | 3         | 2500+    | 1      | png      | png             | 50m                | __           | 卫星影像           | HY1                                                  | 2021     | 中科院                                                    | http://sw.chreos.org/challenge/dataset/5                     |                                                          |
-| 3-54                                                         | [rsipacseg](http://rsipac.whu.edu.cn/subject_one)            | 图像分割   | 512 * 512                              | 4         | 70000    | 9、47  | tif      | png             | 0.8~ 2m            | __           | __                 | __                                                   | 2021     | 武汉大学                                                  | http://rsipac.whu.edu.cn/subject_one                         |                                                          |
-| 3-55                                                         | [2021全国人工智能创新大赛-遥感图像耕地识别](http://www.aiinnovation.com.cn/#/AIcaict/trackDetail) | 图像分割   | 256 * 256                              | 3         | 50000    | 1      | png      | png             | 1m                 | __           | __                 | __                                                   | 2021     | __                                                        | http://www.aiinnovation.com.cn/#/AIcaict/trackDetail         |                                                          |
-| [3-56](https://aistudio.baidu.com/aistudio/datasetdetail/82020) | [Salinas scene](http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes) | 图像分割   | 512 * 217                              | 224       | 1        | 16     | mat      | mat             | 3.7m               | 10nm         | 高光谱             | 机载可视红外成像光谱仪/ AVIRIS                       | 2011     | __                                                        | http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes | https://aistudio.baidu.com/aistudio/datasetdetail/82020  |
-| [3-57](https://aistudio.baidu.com/aistudio/datasetdetail/82020) | [Salinas   Ascene](http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes) | 图像分割   | 83 * 86                                | 224       | 1        | 6      | mat      | mat             | 3.7m               | 10nm         | 高光谱             | 机载可视红外成像光谱仪/ AVIRIS                       | 2011     | __                                                        | http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes | https://aistudio.baidu.com/aistudio/datasetdetail/82020  |
-| [3-58](https://aistudio.baidu.com/aistudio/datasetdetail/81260) | [Pavia Centre   scene](http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes) | 图像分割   | 1096 * 1096                            | 102       | 1        | 9      | mat      | mat             | 1.3m               | 4.3nm        | 航拍影像           | 机载反射光学光谱成像仪 /ROSIS                        | 2011     | Paviauniversity                                           | http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes | https://aistudio.baidu.com/aistudio/datasetdetail/81260  |
-| [3-59](https://aistudio.baidu.com/aistudio/datasetdetail/81260) | [Pavia   University scene](http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes) | 图像分割   | 610 * 610                              | 103       | 1        | 9      | mat      | mat             | 1.3m               | 4.3nm        | 高光谱             | 机载反射光学光谱成像仪/ ROSIS                        | 2011     | Paviauniversity                                           | http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes | https://aistudio.baidu.com/aistudio/datasetdetail/81260  |
-| [3-60](https://aistudio.baidu.com/aistudio/datasetdetail/83251) | [Washington   DCMALL](http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes) | 图像分割   | 1280 * 307                             | 191       | 1        | 7      | tif      | tif             | __                 | 10nm         | 高光谱             | 机载高光谱数据/ Hydice                               | 2013     | Spectral Information Technology                           | http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes | https://aistudio.baidu.com/aistudio/datasetdetail/83251  |
-| [3-61](https://aistudio.baidu.com/aistudio/datasetdetail/81800) | [Ikennedy   Space Center ](http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes) | 图像分割   | 512 * 614                              | 176       | 1        | 13     | mat      | mat             | 0.18m              | 10nm         | 高光谱             | 机载可视红外成像光谱仪/ AVIRIS                       | 2014     | Center for Space Research-The University of TexasatAustin | http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes | https://aistudio.baidu.com/aistudio/datasetdetail/81800  |
-| [3-62](https://aistudio.baidu.com/aistudio/datasetdetail/82578) | [Botswana](http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes) | 图像分割   | 1476 * 256                             | 145       | 1        | 14     | mat      | mat             | 30m                | __           | 高光谱             | EO1                                                  | 2014     | __                                                        | http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes | https://aistudio.baidu.com/aistudio/datasetdetail/82578  |
-| [3-63](https://aistudio.baidu.com/aistudio/datasetdetail/80970) | [Indian Pines](https://purr.purdue.edu/publications/1947/1)  | 图像分割   | 145 * 145、614 * 1848、2678 * 614      | 224       | 3        | 16     | tif      | tif             | __                 | 10nm         | 高光谱             | 机载可视红外成像光谱仪/ AVIRIS                       | 2015     | Purdue University                                         | https://purr.purdue.edu/publications/1947/1                  | https://aistudio.baidu.com/aistudio/datasetdetail/80970  |
-| [3-64](https://aistudio.baidu.com/aistudio/datasetdetail/80840) | [HyRANK](https://www2.isprs.org/commissions/comm3/wg4/hyrank/) | 图像分割   | 250± * 1000±                           | 176       | 5        | 14     | tif      | tif             | 30m                | __           | 高光谱             | EO1                                                  | 2018     | National Technical University of Athen                    | https://www2.isprs.org/commissions/comm3/wg4/hyrank/         | https://aistudio.baidu.com/aistudio/datasetdetail/80840  |
-| [3-65](https://aistudio.baidu.com/aistudio/datasetdetail/100218) | [XiongAn   hyperspectral dataset](http://www.hrs-cas.com/a/share/shujuchanpin/2019/0501/1049.html) | 图像分割   | 3750 * 1580                            | 250       | 1        | 19     | img      | img             | 0.5m               | 2.4nm        | 高光谱             | 机载高光谱数据/ GF专项航空系统全谱段多模态成像光谱仪 | 2019     | 中科院                                                    | http://www.hrs-cas.com/a/share/shujuchanpin/2019/0501/1049.html | https://aistudio.baidu.com/aistudio/datasetdetail/100218 |
-| [3-66](https://aistudio.baidu.com/aistudio/datasetdetail/126831) | [AIR PolSAR   Seg](https://radars.ac.cn/web/data/getData?newsColumnId=1e6ecbcc-266d-432c-9c8a-0b9a922b5e85) | 图像分割   | 512 * 512                              | 4         | 500      | 6      | tiff     | png             | 8m                 | __           | SAR                | __                                                   | 2021     | 《雷达学报》编辑部                                        | https://radars.ac.cn/web/data/getData?newsColumnId=1e6ecbcc-266d-432c-9c8a-0b9a922b5e85 | https://aistudio.baidu.com/aistudio/datasetdetail/126831 |
-| 3-67                                                         | [gf2021 高分辨率SAR图像中近海养殖场分割数据集](http://sw.chreos.org/challenge/dataset/3) | 图像分割   | 512 * 512, 1024 * 1024, 2048 *  2048   | 1         | 6000+    | 1      | png      | png             | 1~ 3m              | __           | SAR                | HS1、GF3                                             | 2021     | 中科院                                                    | http://sw.chreos.org/challenge/dataset/3                     |                                                          |
+| [3-10](https://aistudio.baidu.com/aistudio/datasetdetail/136777) | [Multi-Sensor   Land-Cover Classification](https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-51180) | 图像分割   | 5957 * 8149, 6031 * 5596               | 4, 1      | 2        | 4      | tif      | tif             | __                 | __           | 卫星影像           | Sentinel1B, Sentinel2A                               | 2018     | 武汉大学                                                  | https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-51180 | https://aistudio.baidu.com/aistudio/datasetdetail/136777 |
+| [3-11](https://aistudio.baidu.com/aistudio/datasetdetail/55222) | [Aeroscapes](https://github.com/ishann/aeroscapes)           | 图像分割   | 720 * 720                              | 3         | 3269     | 11     | jpg      | png             | __                 | __           | 航拍影像           | 航拍影像                                             | 2018     | Carnegie Mellon University                                | https://github.com/ishann/aeroscapes                         | https://aistudio.baidu.com/aistudio/datasetdetail/55222  |
+| [3-12](https://aistudio.baidu.com/aistudio/datasetdetail/74274) | [AIRS](https://www.airs-dataset.com/)                        | 图像分割   | 10000 * 10000                          | 3         | 190      | 1      | tif      | tif             | 0.075m             | __           | 航拍影像           | LINZ Data Service                                    | 2018     | University of Tokyo                                       | https://www.airs-dataset.com/                                | https://aistudio.baidu.com/aistudio/datasetdetail/74274  |
+| [3-13](https://aistudio.baidu.com/aistudio/datasetdetail/98991) | [RIT 18](https://github.com/rmkemker/RIT-18)                 | 图像分割   | 9393 * 5642、8833 * 6918、12446 * 7654 | 7         | 3        | 18     | mat      | npy             | 0.047m             | __           | 卫星影像           | Tetracam MicroMCA6                                   | 2018     | Rochester Institute of Technology                         | https://github.com/rmkemker/RIT-18                           | https://aistudio.baidu.com/aistudio/datasetdetail/98991  |
+| [3-14](https://aistudio.baidu.com/aistudio/datasetdetail/79283) | [Drone Deploy](https://github.com/dronedeploy/dd-ml-segmentation-benchmark) | 图像分割   | 6000± * 6000±                          | 3         | 55       | 7      | tif      | png             | 0.1m               | __           | 航拍影像           | drones                                               | 2019     | Drone Deploy                                              | https://github.com/dronedeploy/dd-ml-segmentation-benchmark  | https://aistudio.baidu.com/aistudio/datasetdetail/79283  |
+| [3-15](https://aistudio.baidu.com/aistudio/datasetdetail/74848) | [Road Tracer](https://github.com/mitroadmaps/roadtracer/)    | 图像分割   | 4096 * 4096                            | 3         | 3000     | 1      | png      | png             | 0.6m               | __           | 卫星影像           | Googleearth, OSM                                     | 2019     | MIT                                                       | https://github.com/mitroadmaps/roadtracer/                   | https://aistudio.baidu.com/aistudio/datasetdetail/74848  |
+| [3-16](https://aistudio.baidu.com/aistudio/datasetdetail/121515) | [Bijie Landslide Dataset](http://gpcv.whu.edu.cn/data/Bijie_pages.html) | 图像分割   | 200± * 200±                            | 3         | 771      | 1      | png      | png             | 0.68m              | __           | 卫星影像           | TripleSat                                            | 2019     | 武汉大学                                                  | http://gpcv.whu.edu.cn/data/Bijie_pages.html                 | https://aistudio.baidu.com/aistudio/datasetdetail/121515 |
+| [3-17](https://aistudio.baidu.com/aistudio/datasetdetail/135648) | [GF2 Dataset for 3DFGC](http://gpcv.whu.edu.cn/data/3DFGC_pages.html) | 图像分割   | 1417 * 2652 , 1163 * 2120              | 4         | 11       | 5      | tif      | tif             | 4m                 | __           | 卫星影像           | GF2                                                  | 2019     | 武汉大学                                                  | http://gpcv.whu.edu.cn/data/3DFGC_pages.html                 | https://aistudio.baidu.com/aistudio/datasetdetail/135648 |
+| [3-18](https://aistudio.baidu.com/aistudio/datasetdetail/134732) | [Semantic Drone Dataset](http://dronedataset.icg.tugraz.at)  | 图像分割   | 6000 * 4000                            | 3         | 400      | 22     | png      | png             | __                 | __           | 航拍影像           | 航拍影像                                             | 2019     | Graz University of Technology                             | http://dronedataset.icg.tugraz.at                            | https://aistudio.baidu.com/aistudio/datasetdetail/134732 |
+| [3-19](https://aistudio.baidu.com/aistudio/datasetdetail/136174) | [WHU Cloud   Dataset](http://gpcv.whu.edu.cn/data/WHU_Cloud_Dataset.html) | 图像分割   | 512 * 512                              | 3         | 730      | 1      | tif      | tif             | __                 | __           | 卫星影像           | Landsat 8                                            | 2020     | 武汉大学                                                  | http://gpcv.whu.edu.cn/data/WHU_Cloud_Dataset.html           | https://aistudio.baidu.com/aistudio/datasetdetail/136174 |
+| [3-20](https://aistudio.baidu.com/aistudio/datasetdetail/76629) | [Land Cover from Aerial Imagery (landcover_ai)](https://landcover.ai/) | 图像分割   | 9000 * 9500、4200 * 4700               | 3         | 41       | 3      | tif      | tif             | 0.25~ 0.5m         | __           | 航拍影像           | 航拍影像                                             | 2020     | linuxpols                                                 | https://landcover.ai/                                        | https://aistudio.baidu.com/aistudio/datasetdetail/76629  |
+| [3-21](https://aistudio.baidu.com/aistudio/datasetdetail/55774) | [UAVid](https://www.uavid.nl/)                               | 图像分割   | 4096 * 2160、3840 * 2160               | 3         | 300      | 8      | png      | png             | __                 | __           | 航拍影像           | 航拍影像                                             | 2020     | University of Twente                                      | https://www.uavid.nl/                                        | https://aistudio.baidu.com/aistudio/datasetdetail/55774  |
+| [3-22](https://aistudio.baidu.com/aistudio/datasetdetail/51568) | [AI + 遥感影像](https://www.datafountain.cn/competitions/457) | 图像分割   | 256 * 256                              | 3         | 100000   | 8、17  | tif      | tif, png        | 0.1~ 4m            | __           | 卫星影像           | GF1, GF2, GF6, GJ2, BJ2, 航拍影像                    | 2020     | 全国人工智能大赛组委会                                    | https://www.datafountain.cn/competitions/457                 | https://aistudio.baidu.com/aistudio/datasetdetail/51568  |
+| [3-23](https://aistudio.baidu.com/aistudio/datasetdetail/56051) | [BDCI2020](https://www.datafountain.cn/competitions/475)     | 图像分割   | 256 * 256                              | 3         | 145981   | 7      | jpg      | png             | __                 | __           | 卫星影像           | __                                                   | 2020     | BDCI                                                      | https://www.datafountain.cn/competitions/475                 | https://aistudio.baidu.com/aistudio/datasetdetail/56051  |
+| [3-24](https://aistudio.baidu.com/aistudio/datasetdetail/70361) | [mini Inria   Aerial Image Labeling Dataset](https://tianchi.aliyun.com/competition/entrance/531872/introduction) | 图像分割   | 512 * 512                              | 3         | 32500    | 1      | jpg      | csv             | 0.3m               | __           | 航拍影像           | 航拍影像                                             | 2021     | 天池大赛                                                  | https://tianchi.aliyun.com/competition/entrance/531872/introduction | https://aistudio.baidu.com/aistudio/datasetdetail/70361  |
+| [3-25](https://aistudio.baidu.com/aistudio/datasetdetail/121200) | [LoveDA](https://github.com/Junjue-Wang/LoveDA)              | 图像分割   | 1024 * 1024                            | 3         | 5987     | 7      | png      | png             | 0.3m               | __           | 卫星影像           | GoogleEarth                                          | 2021     | 武汉大学                                                  | https://github.com/Junjue-Wang/LoveDA                        | https://aistudio.baidu.com/aistudio/datasetdetail/121200 |
+| [3-26](https://aistudio.baidu.com/aistudio/datasetdetail/129225) | [MiniFrance-DFC22](https://www.grss-ieee.org/community/technical-committees/2022-ieee-grss-data-fusion-contest/) | 图像分割   | 2000±* 2000±                           | 3         | 2322     | 15     | tif      | tif             | __                 | __           | 航拍影像           | 航拍影像                                             | 2022     | IADF TC                                                   | https://www.grss-ieee.org/community/technical-committees/2022-ieee-grss-data-fusion-contest/ | https://aistudio.baidu.com/aistudio/datasetdetail/129225 |
+| [3-27](https://aistudio.baidu.com/aistudio/datasetdetail/102929) | [遥感建筑提取数据集_M](https://aistudio.baidu.com/aistudio/datasetdetail/102929) | 图像分割   | 512 * 512                              | 3         | 447686   | 1      | __       | __              | __                 | __           | __                 | __                                                   | 2022     | 重庆交通大学                                              | https://aistudio.baidu.com/aistudio/datasetdetail/102929     | https://aistudio.baidu.com/aistudio/datasetdetail/102929 |
+| [3-28](https://aistudio.baidu.com/aistudio/datasetdetail/56961) | [Massachusetts Roads](https://www.cs.toronto.edu/~vmnih/data/) | 图像分割   | 1500 * 1500                            | 3         | 804      | 1      | png      | png             | 1m                 | __           | 航拍影像           | 航拍影像                                             | 2013     | University of Toronto                                     | https://www.cs.toronto.edu/~vmnih/data/                      | https://aistudio.baidu.com/aistudio/datasetdetail/56961  |
+| [3-29](https://aistudio.baidu.com/aistudio/datasetdetail/57019) | [Massachusetts Builds](https://www.cs.toronto.edu/~vmnih/data/) | 图像分割   | 1500 * 1500                            | 3         | 151      | 1      | png      | png             | 1m                 | __           | 航拍影像           | 航拍影像                                             | 2013     | University of Toronto                                     | https://www.cs.toronto.edu/~vmnih/data/                      | https://aistudio.baidu.com/aistudio/datasetdetail/57019  |
+| [3-30](https://aistudio.baidu.com/aistudio/datasetdetail/55681) | [Deep Globe Land Cover Classification   Challenge](http://deepglobe.org/challenge.html) | 图像分割   | 2448 * 2448                            | 3         | 803      | 7      | jpg      | png             | 0.5m               | __           | 卫星影像           | DigitalGlobe                                         | 2018     | CVPR                                                      | http://deepglobe.org/challenge.html                          | https://aistudio.baidu.com/aistudio/datasetdetail/55681  |
+| [3-31](https://aistudio.baidu.com/aistudio/datasetdetail/55682) | [Deep Globe Road Detection Challenge](http://deepglobe.org/challenge.html) | 图像分割   | 1024 * 1024                            | 3、14     | 6226     | 1      | jpg      | png             | 0.5m               | __           | 卫星影像           | DigitalGlobe                                         | 2018     | CVPR                                                      | http://deepglobe.org/challenge.html                          | https://aistudio.baidu.com/aistudio/datasetdetail/55682  |
+| [3-32](https://aistudio.baidu.com/aistudio/datasetdetail/56341) | [WHU Building   Dataset, Satellite datasetⅠ   (globalcities)](https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html) | 图像分割   | 512 * 512                              | 3         | 204      | 1      | tif      | tif             | 0.3~ 2.5m          | __           | 卫星影像           | QuickBird, Worldviewseries, IKONOS, ZY3              | 2019     | 武汉大学                                                  | https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html | https://aistudio.baidu.com/aistudio/datasetdetail/56341  |
+| [3-33](https://aistudio.baidu.com/aistudio/datasetdetail/56356) | [WHU Building   Dataset, Satellite datasetⅡ (EastAsia)](https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html) | 图像分割   | 512 * 512                              | 3         | 17388    | 1      | tif      | tif             | 0.45m              | __           | 卫星影像           | __                                                   | 2019     | 武汉大学                                                  | https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html | https://aistudio.baidu.com/aistudio/datasetdetail/56356  |
+| [3-34](https://aistudio.baidu.com/aistudio/datasetdetail/56502) | [WHU Building   Dataset, Aerial imagery dataset](https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html) | 图像分割   | 512 * 512                              | 3         | 8189     | 1      | tif      | tif             | 0.3m               | __           | 卫星影像           | __                                                   | 2019     | 武汉大学                                                  | https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html | https://aistudio.baidu.com/aistudio/datasetdetail/56502  |
+| [3-35](https://aistudio.baidu.com/aistudio/datasetdetail/98275) | [ORSSD](https://github.com/rmcong/ORSSD-dataset)             | 图像分割   | 500± * 500±                            | 3         | 800      | 8      | jpg      | png             | __                 | __           | 卫星影像           | GoogleEarth                                          | 2019     | 北京交通大学                                              | https://github.com/rmcong/ORSSD-dataset                      | https://aistudio.baidu.com/aistudio/datasetdetail/98275  |
+| [3-36](https://aistudio.baidu.com/aistudio/datasetdetail/98372) | [EORSSD](https://hub.fastgit.org/rmcong/EORSSD-dataset]https:/hub.fastgit.org/rmcong/EORSSD-dataset) | 图像分割   | 500± * 500±                            | 3         | 2000     | 8      | jpg      | png             | __                 | __           | 卫星影像           | GoogleEarth                                          | 2020     | 北京交通大学                                              | [https://hub.fastgit.org/rmcong/EORSSD-dataset\]https://hub.fastgit.org/rmcong/EORSSD-dataset](https://hub.fastgit.org/rmcong/EORSSD-dataset]https:/hub.fastgit.org/rmcong/EORSSD-dataset) | https://aistudio.baidu.com/aistudio/datasetdetail/98372  |
+| [3-37](https://aistudio.baidu.com/aistudio/datasetdetail/56236) | [38 Cloud: A   Cloud Segmentation Dataset](https://github.com/SorourMo/38-Cloud-A-Cloud-Segmentation-Dataset) | 图像分割   | 384 * 384                              | 4         | 8400     | 1      | tif      | tif             | 30m                | __           | 卫星影像           | Landsat8                                             | 2018     | Science Simon Fraser University                           | https://github.com/SorourMo/38-Cloud-A-Cloud-Segmentation-Dataset | https://aistudio.baidu.com/aistudio/datasetdetail/56236  |
+| [3-38](https://aistudio.baidu.com/aistudio/datasetdetail/56839) | [95 Cloud: An Extension to 38 Cloud Dataset](https://github.com/SorourMo/95-Cloud-An-Extension-to-38-Cloud-Dataset) | 图像分割   | 384 * 384                              | 4         | 34701    | 1      | tif      | tif             | 30m                | __           | 卫星影像           | Landsat8                                             | 2020     | Simon Fraser University                                   | https://github.com/SorourMo/95-Cloud-An-Extension-to-38-Cloud-Dataset | https://aistudio.baidu.com/aistudio/datasetdetail/56839  |
+| [3-39](https://aistudio.baidu.com/aistudio/datasetdetail/55153) | [Postdam](https://www2.isprs.org/commissions/comm2/wg4/benchmark/semantic-labeling/) | 图像分割   | 6000 * 6000                            | 3         | 38       | 6      | tif      | tif             | 0.05m              | __           | 航拍影像           | 航拍影像                                             | 2012     | ISPRS                                                     | https://www2.isprs.org/commissions/comm2/wg4/benchmark/semantic-labeling/ | https://aistudio.baidu.com/aistudio/datasetdetail/55153  |
+| [3-40](https://aistudio.baidu.com/aistudio/datasetdetail/55408) | [Vaihingen](https://www2.isprs.org/commissions/comm2/wg4/benchmark/semantic-labeling/) | 图像分割   | 2000± * 2000±                          | 3         | 33       | 6      | tif      | tif             | 0.09m              | __           | 航拍影像           | 航拍影像                                             | 2012     | ISPRS                                                     | https://www2.isprs.org/commissions/comm2/wg4/benchmark/semantic-labeling/ | https://aistudio.baidu.com/aistudio/datasetdetail/55408  |
+| [3-41](https://aistudio.baidu.com/aistudio/datasetdetail/54878) | [GID Fine Land cover Classification   15 classes](https://x-ytong.github.io/project/GID.html) | 图像分割   | 7200 * 6800                            | 3、4      | 10       | 5      | tif      | tif             | 0.8~ 10m           | __           | 卫星影像           | GF2号                                                | 2018     | 武汉大学                                                  | https://x-ytong.github.io/project/GID.html                   | https://aistudio.baidu.com/aistudio/datasetdetail/54878  |
+| [3-42](https://aistudio.baidu.com/aistudio/datasetdetail/54934) | [GID Large scale Classification 5   classes](https://x-ytong.github.io/project/GID.html) | 图像分割   | 7200 * 6800                            | 3、4      | 150      | 15     | tif      | tif             | 0.8~ 10m           | __           | 卫星影像           | GF2, GF1, JL1, ZY3, Sentinel2A, GoogleEarth          | 2018     | 武汉大学                                                  | https://x-ytong.github.io/project/GID.html                   | https://aistudio.baidu.com/aistudio/datasetdetail/54934  |
+| [3-43](https://aistudio.baidu.com/aistudio/datasetdetail/75675) | [UDD5](https://github.com/MarcWong/UDD)                      | 图像分割   | 4096± * 2160±                          | 3         | 160      | 5      | png      | png             | __                 | __           | 航拍影像           | DJIPhantom4                                          | 2018     | 北京大学                                                  | https://github.com/MarcWong/UDD                              | https://aistudio.baidu.com/aistudio/datasetdetail/75675  |
+| [3-44](https://aistudio.baidu.com/aistudio/datasetdetail/75675) | [UDD6](https://github.com/MarcWong/UDD)                      | 图像分割   | 4096± * 2160±                          | 3         | 141      | 6      | png      | png             | __                 | __           | 航拍影像           | DJIPhantom4                                          | 2018     | 北京大学                                                  | https://github.com/MarcWong/UDD                              | https://aistudio.baidu.com/aistudio/datasetdetail/75675  |
+| [3-45](https://aistudio.baidu.com/aistudio/datasetdetail/57579) | [BH POOLS](http://www.patreo.dcc.ufmg.br/2020/07/29/bh-pools-watertanks-datasets/) | 图像分割   | 3840 * 2160                            | 3         | 200      | 1      | jpg      | png             | __                 | __           | 卫星影像           | GoogleEarth                                          | 2020     | Federal University of Minas Gerais                        | http://www.patreo.dcc.ufmg.br/2020/07/29/bh-pools-watertanks-datasets/ | https://aistudio.baidu.com/aistudio/datasetdetail/57579  |
+| [3-46](https://aistudio.baidu.com/aistudio/datasetdetail/57579) | [BH WATERTANKS](http://www.patreo.dcc.ufmg.br/2020/07/29/bh-pools-watertanks-datasets/) | 图像分割   | 3840 * 2160                            | 3         | 200      | 1      | jpg      | png             | __                 | __           | 卫星影像           | GoogleEarth                                          | 2020     | Federal University of Minas Gerais                        | http://www.patreo.dcc.ufmg.br/2020/07/29/bh-pools-watertanks-datasets/ | https://aistudio.baidu.com/aistudio/datasetdetail/57579  |
+| 3-47                                                         | [BDCI2017](https://www.datafountain.cn/competitions/270)     | 图像分割   | 8000± * 8000±                          | 3         | 5        | 5      | png      | png             | __                 | __           | __                 | __                                                   | 2017     | __                                                        | https://www.datafountain.cn/competitions/270                 |                                                          |
+| 3-48                                                         | [Deep Globe Building Extraction   Challenge](http://deepglobe.org/challenge.html) | 图像分割   | 650 * 650                              | 8         | 254586   | 1      | tif      | tif             | 1.24m              | __           | 卫星影像           | WorldView3                                           | 2018     | CVPR                                                      | http://deepglobe.org/challenge.html                          |                                                          |
+| 3-49                                                         | [DLR-SkyScapes](https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-58694) | 图像分割   | 5616 * 3744                            | 3         | 16       | 31     | __       | __              | 0.13m              | __           | 航拍影像           | 航拍影像                                             | 2019     | German Aerospace Center                                   | https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-58694 |                                                          |
+| [3-50](https://aistudio.baidu.com/aistudio/datasetdetail/135044) | [Barley Remote   Sensing Dataset](https://tianchi.aliyun.com/competition/entrance/231717/information) | 图像分割   | 47161 * 50141,   77470* 40650          | 3         | 2        | 4      | png      | png             | __                 | __           | 航拍影像           | 航拍影像                                             | 2019     | __                                                        | https://tianchi.aliyun.com/competition/entrance/231717/information | https://aistudio.baidu.com/aistudio/datasetdetail/135044 |
+| 3-51                                                         | [rscupseg](http://rscup.bjxintong.com.cn/#/theme/3)          | 图像分割   | 7200 * 6800                            | 4         | 20       | 6      | tif      | tif             | 4m                 | __           | 卫星影像           | GF2                                                  | 2019     | __                                                        | http://rscup.bjxintong.com.cn/#/theme/3                      |                                                          |
+| 3-52                                                         | [2020数字中国创新大赛](https://tianchi.aliyun.com/competition/entrance/231767/introduction) | 图像分割   | 4000± * 4000±                          | 3         | 8        | 1      | tif      | tif             | 0.8m               | __           | 卫星影像           | GF2                                                  | 2020     | __                                                        | https://tianchi.aliyun.com/competition/entrance/231767/introduction |                                                          |
+| 3-53                                                         | [“华为云杯”2020人工智能创新应用大赛](https://competition.huaweicloud.com/information/1000041322/circumstance?track=107) | 图像分割   | 10391 * 33106、34612 * 29810           | 3         | 2        | 1      | png      | png             | 0.8m               | __           | 卫星影像           | BJ2                                                  | 2020     | __                                                        | https://competition.huaweicloud.com/information/1000041322/circumstance?track=107 |                                                          |
+| 3-54                                                         | [2021全国数字生态创新大赛](https://tianchi.aliyun.com/competition/entrance/531860/rankingList) | 图像分割   | 256 * 256                              | 4         | 16017    | __     | tif      | tif             | 0.8~ 2m            | __           | 卫星影像           | GF                                                   | 2021     | 浙江大学                                                  | https://tianchi.aliyun.com/competition/entrance/531860/rankingList |                                                          |
+| 3-55                                                         | [LRSNY](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9333652) | 图像分割   | 1000 * 1000                            | 3         | 1368     | __     | __       | __              | 0.5m               | __           | 卫星影像           | __                                                   | 2021     | IEEE                                                      | https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9333652 |                                                          |
+| 3-56                                                         | [gf2021 面向海洋一号可见光图像中海冰目标监测数据集](http://sw.chreos.org/challenge/dataset/5) | 图像分割   | 512 * 512                              | 3         | 2500+    | 1      | png      | png             | 50m                | __           | 卫星影像           | HY1                                                  | 2021     | 中科院                                                    | http://sw.chreos.org/challenge/dataset/5                     |                                                          |
+| 3-57                                                         | [rsipacseg](http://rsipac.whu.edu.cn/subject_one)            | 图像分割   | 512 * 512                              | 4         | 70000    | 9、47  | tif      | png             | 0.8~ 2m            | __           | __                 | __                                                   | 2021     | 武汉大学                                                  | http://rsipac.whu.edu.cn/subject_one                         |                                                          |
+| 3-58                                                         | [2021全国人工智能创新大赛-遥感图像耕地识别](http://www.aiinnovation.com.cn/#/AIcaict/trackDetail) | 图像分割   | 256 * 256                              | 3         | 50000    | 1      | png      | png             | 1m                 | __           | __                 | __                                                   | 2021     | __                                                        | http://www.aiinnovation.com.cn/#/AIcaict/trackDetail         |                                                          |
+| [3-59](https://aistudio.baidu.com/aistudio/datasetdetail/82020) | [Salinas scene](http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes) | 图像分割   | 512 * 217                              | 224       | 1        | 16     | mat      | mat             | 3.7m               | 10nm         | 高光谱             | 机载可视红外成像光谱仪/ AVIRIS                       | 2011     | __                                                        | http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes | https://aistudio.baidu.com/aistudio/datasetdetail/82020  |
+| [3-60](https://aistudio.baidu.com/aistudio/datasetdetail/82020) | [Salinas   Ascene](http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes) | 图像分割   | 83 * 86                                | 224       | 1        | 6      | mat      | mat             | 3.7m               | 10nm         | 高光谱             | 机载可视红外成像光谱仪/ AVIRIS                       | 2011     | __                                                        | http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes | https://aistudio.baidu.com/aistudio/datasetdetail/82020  |
+| [3-61](https://aistudio.baidu.com/aistudio/datasetdetail/81260) | [Pavia Centre   scene](http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes) | 图像分割   | 1096 * 1096                            | 102       | 1        | 9      | mat      | mat             | 1.3m               | 4.3nm        | 航拍影像           | 机载反射光学光谱成像仪 /ROSIS                        | 2011     | Paviauniversity                                           | http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes | https://aistudio.baidu.com/aistudio/datasetdetail/81260  |
+| [3-62](https://aistudio.baidu.com/aistudio/datasetdetail/81260) | [Pavia   University scene](http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes) | 图像分割   | 610 * 610                              | 103       | 1        | 9      | mat      | mat             | 1.3m               | 4.3nm        | 高光谱             | 机载反射光学光谱成像仪/ ROSIS                        | 2011     | Paviauniversity                                           | http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes | https://aistudio.baidu.com/aistudio/datasetdetail/81260  |
+| [3-63](https://aistudio.baidu.com/aistudio/datasetdetail/83251) | [Washington   DCMALL](http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes) | 图像分割   | 1280 * 307                             | 191       | 1        | 7      | tif      | tif             | __                 | 10nm         | 高光谱             | 机载高光谱数据/ Hydice                               | 2013     | Spectral Information Technology                           | http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes | https://aistudio.baidu.com/aistudio/datasetdetail/83251  |
+| [3-64](https://aistudio.baidu.com/aistudio/datasetdetail/81800) | [Ikennedy   Space Center ](http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes) | 图像分割   | 512 * 614                              | 176       | 1        | 13     | mat      | mat             | 0.18m              | 10nm         | 高光谱             | 机载可视红外成像光谱仪/ AVIRIS                       | 2014     | Center for Space Research-The University of TexasatAustin | http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes | https://aistudio.baidu.com/aistudio/datasetdetail/81800  |
+| [3-65](https://aistudio.baidu.com/aistudio/datasetdetail/82578) | [Botswana](http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes) | 图像分割   | 1476 * 256                             | 145       | 1        | 14     | mat      | mat             | 30m                | __           | 高光谱             | EO1                                                  | 2014     | __                                                        | http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes | https://aistudio.baidu.com/aistudio/datasetdetail/82578  |
+| [3-66](https://aistudio.baidu.com/aistudio/datasetdetail/80970) | [Indian Pines](https://purr.purdue.edu/publications/1947/1)  | 图像分割   | 145 * 145、614 * 1848、2678 * 614      | 224       | 3        | 16     | tif      | tif             | __                 | 10nm         | 高光谱             | 机载可视红外成像光谱仪/ AVIRIS                       | 2015     | Purdue University                                         | https://purr.purdue.edu/publications/1947/1                  | https://aistudio.baidu.com/aistudio/datasetdetail/80970  |
+| [3-67](https://aistudio.baidu.com/aistudio/datasetdetail/80840) | [HyRANK](https://www2.isprs.org/commissions/comm3/wg4/hyrank/) | 图像分割   | 250± * 1000±                           | 176       | 5        | 14     | tif      | tif             | 30m                | __           | 高光谱             | EO1                                                  | 2018     | National Technical University of Athen                    | https://www2.isprs.org/commissions/comm3/wg4/hyrank/         | https://aistudio.baidu.com/aistudio/datasetdetail/80840  |
+| [3-68](https://aistudio.baidu.com/aistudio/datasetdetail/100218) | [XiongAn   hyperspectral dataset](http://www.hrs-cas.com/a/share/shujuchanpin/2019/0501/1049.html) | 图像分割   | 3750 * 1580                            | 250       | 1        | 19     | img      | img             | 0.5m               | 2.4nm        | 高光谱             | 机载高光谱数据/ GF专项航空系统全谱段多模态成像光谱仪 | 2019     | 中科院                                                    | http://www.hrs-cas.com/a/share/shujuchanpin/2019/0501/1049.html | https://aistudio.baidu.com/aistudio/datasetdetail/100218 |
+| [3-69](https://aistudio.baidu.com/aistudio/datasetdetail/126831) | [AIR PolSAR   Seg](https://radars.ac.cn/web/data/getData?newsColumnId=1e6ecbcc-266d-432c-9c8a-0b9a922b5e85) | 图像分割   | 512 * 512                              | 4         | 500      | 6      | tiff     | png             | 8m                 | __           | SAR                | __                                                   | 2021     | 《雷达学报》编辑部                                        | https://radars.ac.cn/web/data/getData?newsColumnId=1e6ecbcc-266d-432c-9c8a-0b9a922b5e85 | https://aistudio.baidu.com/aistudio/datasetdetail/126831 |
+| 3-70                                                         | [gf2021 高分辨率SAR图像中近海养殖场分割数据集](http://sw.chreos.org/challenge/dataset/3) | 图像分割   | 512 * 512, 1024 * 1024, 2048 *  2048   | 1         | 6000+    | 1      | png      | png             | 1~ 3m              | __           | SAR                | HS1、GF3                                             | 2021     | 中科院                                                    | http://sw.chreos.org/challenge/dataset/3                     |                                                          |
 |                                                              |                                                              | __         | __                                     | __        | __       | __     | __       | __              | __                 | __           | __                 | __                                                   | __       | __                                                        |                                                              |                                                          |
 |                                                              |                                                              | __         | __                                     | __        | __       | __     | __       | __              | __                 | __           | __                 | __                                                   | __       | __                                                        |                                                              |                                                          |
 | [4-1](https://aistudio.baidu.com/aistudio/datasetdetail/77781) | [SZTAKI INRIA   Air Change](http://web.eee.sztaki.hu/remotesensing/airchange_benchmark.html) | 变化检测   | 952 * 640                              | 3         | 26       | 1      | bmp      | bmp             | 1.5m               | __           | 卫星影像           | __                                                   | 2009     | MTASZTAKI                                                 | http://web.eee.sztaki.hu/remotesensing/airchange_benchmark.html | https://aistudio.baidu.com/aistudio/datasetdetail/77781  |
@@ -148,23 +155,27 @@
 | [4-5](https://aistudio.baidu.com/aistudio/datasetdetail/78676) | [season   varying](https://paperswithcode.com/dataset/cdd-dataset-season-varying) | 变化检测   | 256 * 256                              | 3         | 1600     | 1      | jpg      | jpg             | 0.03~ 1m           | __           | 卫星影像           | GoogleEarth (DigitalGlobe)                           | 2018     | GosNIIAS                                                  | https://paperswithcode.com/dataset/cdd-dataset-season-varying | https://aistudio.baidu.com/aistudio/datasetdetail/78676  |
 | [4-6](https://aistudio.baidu.com/aistudio/datasetdetail/72898) | [Onera Satellite Change Detection](https://rcdaudt.github.io/oscd/) | 变化检测   | 600 * 600                              | 13        | 48       | 1      | tif      | tif, png        | 10m                | __           | 卫星影像           | Sentinel2                                            | 2018     | Universit´e Paris- Saclay                                 | https://rcdaudt.github.io/oscd/                              | https://aistudio.baidu.com/aistudio/datasetdetail/72898  |
 | [4-7](https://aistudio.baidu.com/aistudio/datasetdetail/70452) | [Multi   temporal SceneWuHan ](http://sigma.whu.edu.cn/newspage.php?q=2019_03_26) | 变化检测   | 7200 * 6000                            | 4         | 380      | 9      | tif      | jpg             | 1m                 | __           | 卫星影像           | IKONOS传感器                                         | 2019     | 武汉大学                                                  | http://sigma.whu.edu.cn/newspage.php?q=2019_03_26            | https://aistudio.baidu.com/aistudio/datasetdetail/70452  |
-| [4-8](https://aistudio.baidu.com/aistudio/datasetdetail/86660) | [High Resolution Semantic Change](https://rcdaudt.github.io/hrscd/) | 变化检测   | 10000 * 10000                          | 3         | 291      | 6      | png      | png             | __                 | __           | 航拍影像           | IGS’s BDORTHO database                               | 2020     | ETHZürich                                                 | https://rcdaudt.github.io/hrscd/                             | https://aistudio.baidu.com/aistudio/datasetdetail/86660  |
-| [4-9](https://aistudio.baidu.com/aistudio/datasetdetail/73203) | [xBD](https://xview2.org/dataset)                            | 变化检测   | 1024 * 1024                            | 3、4、8   | 22068    | 4      | png      | json            | __                 | __           | 卫星影像           | DigitalGlobe                                         | 2020     | MIT                                                       | https://xview2.org/dataset                                   | https://aistudio.baidu.com/aistudio/datasetdetail/73203  |
-| [4-10](https://aistudio.baidu.com/aistudio/datasetdetail/75099) | [Google   dataset](https://github.com/daifeng2016/Change-Detection-Dataset-for-High-Resolution-Satellite-Imagery) | 变化检测   | 1000 * 1000~5000 * 5000                | 3         | 20       | 1      | tif      | png             | 0.55m              | __           | 卫星影像           | GoogleEarth                                          | 2020     | IEEE                                                      | https://github.com/daifeng2016/Change-Detection-Dataset-for-High-Resolution-Satellite-Imagery | https://aistudio.baidu.com/aistudio/datasetdetail/75099  |
-| [4-11](https://aistudio.baidu.com/aistudio/datasetdetail/75459) | [LEVIR CD](https://justchenhao.github.io/LEVIR/)             | 变化检测   | 1024 * 1024                            | 3         | 1274     | 1      | png      | png             | 0.5m               | __           | 卫星影像           | GoogleEarth                                          | 2020     | 北京航空航天大学                                          | https://justchenhao.github.io/LEVIR/                         | https://aistudio.baidu.com/aistudio/datasetdetail/75459  |
-| [4-12](https://aistudio.baidu.com/aistudio/datasetdetail/53484) | [SenseEarth   Change Detection](https://rs.sensetime.com/competition/index.html#/info) | 变化检测   | 512 * 512                              | 3         | 7630     | 6      | png      | png             | 0.5~ 3m            | __           | 卫星影像           | __                                                   | 2020     | 商汤科技                                                  | https://rs.sensetime.com/competition/index.html#/info        | https://aistudio.baidu.com/aistudio/datasetdetail/53484  |
-| [4-13](https://aistudio.baidu.com/aistudio/datasetdetail/87088) | [SEmantic Change detectiON Data](http://www.captain-whu.com/project/SCD/) | 变化检测   | 512 * 512                              | 3         | 9324     | 1      | png      | png             | __                 | __           | 航拍影像           | 航拍影像                                             | 2020     | 武汉大学                                                  | http://www.captain-whu.com/project/SCD/                      | https://aistudio.baidu.com/aistudio/datasetdetail/87088  |
-| [4-14](https://aistudio.baidu.com/aistudio/datasetdetail/104199) | [Sentinel 2 Multitemporal Cities Pairs](https://zenodo.org/record/4280482) | 变化检测   | 600 * 600                              | 14        | 3042     | __     | npy      | self-supervised | 10m                | __           | 卫星影像           | Sentinel2                                            | 2020     | Wageningen University                                     | https://zenodo.org/record/4280482                            | https://aistudio.baidu.com/aistudio/datasetdetail/104199 |
-| [4-15](https://aistudio.baidu.com/aistudio/datasetdetail/98596) | [SunYat SenUniversity CD](https://github.com/liumency/SYSU-CD) | 变化检测   | 256 * 256                              | 3         | 40000    | 1      | png      | png             | 0.5m               | __           | 航拍影像           | 航拍影像                                             | 2021     | 中山大学                                                  | https://github.com/liumency/SYSU-CD                          | https://aistudio.baidu.com/aistudio/datasetdetail/98596  |
-| [4-16](https://aistudio.baidu.com/aistudio/datasetdetail/133833) | [S2Looking](https://www.rsaicp.com/portal/dataDetail?id=30)  | 变化检测   | 1024 * 1024                            | 3         | 8000     | 1      | png      | png             | __                 | __           | 航拍影像           | 国产自主产权系列卫星                                 | 2021     | 中科院                                                    | https://www.rsaicp.com/portal/dataDetail?id=30               | https://aistudio.baidu.com/aistudio/datasetdetail/133833 |
-| [4-17](https://aistudio.baidu.com/aistudio/datasetdetail/132093) | [LEVIR-CD2](https://www.rsaicp.com/portal/dataDetail?id=27)  | 变化检测   | 1024 * 1024                            | 3         | 890      | 1      | png      | png             | __                 | __           | 卫星影像           | GoogleEarth                                          | 2021     | 中科院                                                    | https://www.rsaicp.com/portal/dataDetail?id=27               | https://aistudio.baidu.com/aistudio/datasetdetail/132093 |
-| 4-18                                                         | [[飞粤云端2017\]广东政务数据创新大赛](https://tianchi.aliyun.com/competition/entrance/231615/information) | 变化检测   | 3000~8106 * 15106                      | 4         | 8        | 1      | tif      | tif             | 0.65m              | __           | 卫星影像           | quickbird                                            | 2017     | __                                                        | https://tianchi.aliyun.com/competition/entrance/231615/information |                                                          |
-| 4-19                                                         | [rscupcd](http://rscup.bjxintong.com.cn/#/theme/4)           | 变化检测   | 960 * 960                              | 4         | 44       | 1      | tif      | tif             | __                 | __           | __                 | __                                                   | 2020     | __                                                        | http://rscup.bjxintong.com.cn/#/theme/4                      |                                                          |
-| 4-20                                                         | [gf2021 高分辨率可见光图像中建筑物普查与变化检测数据集](http://sw.chreos.org/challenge/dataset/5) | 变化检测   | 512 * 512                              | 3         | 5000     | 1      | png      | png             | __                 | __           | 卫星影像           | GF2, JL1                                             | 2021     | 中科院                                                    | http://sw.chreos.org/challenge/dataset/5                     |                                                          |
-| 4-21                                                         | [PRCV2021cd](https://captain-whu.github.io/PRCV2021_RS/dataset.html) | 变化检测   | 512 * 512                              | 3         | 16000    | 1      | png      | png             | __                 | __           | __                 | __                                                   | 2021     | __                                                        | https://captain-whu.github.io/PRCV2021_RS/dataset.html       |                                                          |
-| [4-22](https://aistudio.baidu.com/aistudio/datasetdetail/126838) | [rsipac2021cd](http://rsipac.whu.edu.cn/subject_two)         | 变化检测   | 512 * 512                              | 3         | 6388     | 1      | tif      | png             | 1~ 2m              | __           | __                 | __                                                   | 2021     | 武汉大学                                                  | http://rsipac.whu.edu.cn/subject_two                         | https://aistudio.baidu.com/aistudio/datasetdetail/126838 |
-| [4-23](https://aistudio.baidu.com/aistudio/datasetdetail/89523) | [Change   Detection Dataset ](https://gitlab.citius.usc.es/hiperespectral/ChangeDetectionDataset) | 变化检测   | 984 * 740、600 * 500、390 * 200        | 224       | 6        | 3、5   | mat      | mat             | __                 | __           | 高光谱             | 机载可视红外成像光谱仪/ AVIRIS，EO1Hyperion          | 2019     | __                                                        | https://gitlab.citius.usc.es/hiperespectral/ChangeDetectionDataset | https://aistudio.baidu.com/aistudio/datasetdetail/89523  |
-| [4-24](https://aistudio.baidu.com/aistudio/datasetdetail/98802) | [river chang dataset](http://crabwq.github.io/)              | 变化检测   | 463 * 241                              | 196       | 2        | 1      | mat      | mat             | 30m                | 10nm         | 高光谱             | EO1Hyperion                                          | 2019     | 西北工业大学                                              | http://crabwq.github.io/                                     | https://aistudio.baidu.com/aistudio/datasetdetail/98802  |
+| [4-8](https://aistudio.baidu.com/aistudio/datasetdetail/139421) | [DSIFN Dataset](https://github.com/GeoZcx/A-deeply-supervised-image-fusion-network-for-change-detection-in-remote-sensing-images/tree/master/dataset) | 变化检测   | 512 * 512                              | 3         | 380      | 9      | tif      | png             | __                 | __           | 卫星影像           | GoogleEarth                                          | 2019     | 武汉大学                                                  | https://github.com/GeoZcx/A-deeply-supervised-image-fusion-network-for-change-detection-in-remote-sensing-images/tree/master/dataset | https://aistudio.baidu.com/aistudio/datasetdetail/139421 |
+| [4-9](https://aistudio.baidu.com/aistudio/datasetdetail/86660) | [High Resolution Semantic Change](https://rcdaudt.github.io/hrscd/) | 变化检测   | 10000 * 10000                          | 3         | 291      | 6      | png      | png             | __                 | __           | 航拍影像           | IGS’s BDORTHO database                               | 2020     | ETHZürich                                                 | https://rcdaudt.github.io/hrscd/                             | https://aistudio.baidu.com/aistudio/datasetdetail/86660  |
+| [4-10](https://aistudio.baidu.com/aistudio/datasetdetail/73203) | [xBD](https://xview2.org/dataset)                            | 变化检测   | 1024 * 1024                            | 3、4、8   | 22068    | 4      | png      | json            | __                 | __           | 卫星影像           | DigitalGlobe                                         | 2020     | MIT                                                       | https://xview2.org/dataset                                   | https://aistudio.baidu.com/aistudio/datasetdetail/73203  |
+| [4-11](https://aistudio.baidu.com/aistudio/datasetdetail/75099) | [Google   dataset](https://github.com/daifeng2016/Change-Detection-Dataset-for-High-Resolution-Satellite-Imagery) | 变化检测   | 1000 * 1000~5000 * 5000                | 3         | 20       | 1      | tif      | png             | 0.55m              | __           | 卫星影像           | GoogleEarth                                          | 2020     | IEEE                                                      | https://github.com/daifeng2016/Change-Detection-Dataset-for-High-Resolution-Satellite-Imagery | https://aistudio.baidu.com/aistudio/datasetdetail/75099  |
+| [4-12](https://aistudio.baidu.com/aistudio/datasetdetail/75459) | [LEVIR CD](https://justchenhao.github.io/LEVIR/)             | 变化检测   | 1024 * 1024                            | 3         | 1274     | 1      | png      | png             | 0.5m               | __           | 卫星影像           | GoogleEarth                                          | 2020     | 北京航空航天大学                                          | https://justchenhao.github.io/LEVIR/                         | https://aistudio.baidu.com/aistudio/datasetdetail/75459  |
+| [4-13](https://aistudio.baidu.com/aistudio/datasetdetail/53484) | [SenseEarth   Change Detection](https://rs.sensetime.com/competition/index.html#/info) | 变化检测   | 512 * 512                              | 3         | 7630     | 6      | png      | png             | 0.5~ 3m            | __           | 卫星影像           | __                                                   | 2020     | 商汤科技                                                  | https://rs.sensetime.com/competition/index.html#/info        | https://aistudio.baidu.com/aistudio/datasetdetail/53484  |
+| [4-14](https://aistudio.baidu.com/aistudio/datasetdetail/87088) | [SEmantic Change detectiON Data](http://www.captain-whu.com/project/SCD/) | 变化检测   | 512 * 512                              | 3         | 9324     | 1      | png      | png             | __                 | __           | 航拍影像           | 航拍影像                                             | 2020     | 武汉大学                                                  | http://www.captain-whu.com/project/SCD/                      | https://aistudio.baidu.com/aistudio/datasetdetail/87088  |
+| [4-15](https://aistudio.baidu.com/aistudio/datasetdetail/104199) | [Sentinel 2 Multitemporal Cities Pairs](https://zenodo.org/record/4280482) | 变化检测   | 600 * 600                              | 14        | 3042     | __     | npy      | self-supervised | 10m                | __           | 卫星影像           | Sentinel2                                            | 2020     | Wageningen University                                     | https://zenodo.org/record/4280482                            | https://aistudio.baidu.com/aistudio/datasetdetail/104199 |
+| [4-16](https://aistudio.baidu.com/aistudio/datasetdetail/98596) | [SunYat SenUniversity CD](https://github.com/liumency/SYSU-CD) | 变化检测   | 256 * 256                              | 3         | 40000    | 1      | png      | png             | 0.5m               | __           | 航拍影像           | 航拍影像                                             | 2021     | 中山大学                                                  | https://github.com/liumency/SYSU-CD                          | https://aistudio.baidu.com/aistudio/datasetdetail/98596  |
+| [4-17](https://aistudio.baidu.com/aistudio/datasetdetail/133833) | [S2Looking](https://www.rsaicp.com/portal/dataDetail?id=30)  | 变化检测   | 1024 * 1024                            | 3         | 8000     | 1      | png      | png             | __                 | __           | 航拍影像           | 国产自主产权系列卫星                                 | 2021     | 中科院                                                    | https://www.rsaicp.com/portal/dataDetail?id=30               | https://aistudio.baidu.com/aistudio/datasetdetail/133833 |
+| [4-18](https://aistudio.baidu.com/aistudio/datasetdetail/132093) | [LEVIR-CD2](https://www.rsaicp.com/portal/dataDetail?id=27)  | 变化检测   | 1024 * 1024                            | 3         | 890      | 1      | png      | png             | __                 | __           | 卫星影像           | GoogleEarth                                          | 2021     | 中科院                                                    | https://www.rsaicp.com/portal/dataDetail?id=27               | https://aistudio.baidu.com/aistudio/datasetdetail/132093 |
+| 4-19                                                         | [[飞粤云端2017\]广东政务数据创新大赛](https://tianchi.aliyun.com/competition/entrance/231615/information) | 变化检测   | 3000~8106 * 15106                      | 4         | 8        | 1      | tif      | tif             | 0.65m              | __           | 卫星影像           | quickbird                                            | 2017     | __                                                        | https://tianchi.aliyun.com/competition/entrance/231615/information |                                                          |
+| 4-20                                                         | [WHU dataset](https://ieeexplore.ieee.org/document/8444434)  | 变化检测   | 512 * 512                              | 3         | 8189     | 1      | __       | __              | 0.25~ 0.3m, 2.7m   | __           | 卫星影像，航拍影像 | QuickBird, Worldview series, IKONOS,   ZY3, 航拍影像 | 2018     | 武汉大学                                                  | https://ieeexplore.ieee.org/document/8444434                 |                                                          |
+| 4-21                                                         | [Hi-UCD](https://arxiv.org/abs/2011.03247)                   | 变化检测   | 1024 * 1024                            | 3         | 2586     | 9      | __       | __              | 0.1m               | __           | __                 | __                                                   | 2020     | 武汉大学                                                  | https://arxiv.org/abs/2011.03247                             |                                                          |
+| 4-22                                                         | [rscupcd](http://rscup.bjxintong.com.cn/#/theme/4)           | 变化检测   | 960 * 960                              | 4         | 44       | 1      | tif      | tif             | __                 | __           | __                 | __                                                   | 2020     | __                                                        | http://rscup.bjxintong.com.cn/#/theme/4                      |                                                          |
+| 4-23                                                         | [gf2021 高分辨率可见光图像中建筑物普查与变化检测数据集](http://sw.chreos.org/challenge/dataset/5) | 变化检测   | 512 * 512                              | 3         | 5000     | 1      | png      | png             | __                 | __           | 卫星影像           | GF2, JL1                                             | 2021     | 中科院                                                    | http://sw.chreos.org/challenge/dataset/5                     |                                                          |
+| 4-24                                                         | [WH-MAVS](http://sigma.whu.edu.cn/newspage.php?q=2021_06_27) | 变化检测   | 200*200                                | 3         | 47134    | 15     | __       | __              | 1.2m               | __           | 卫星影像           | GoogleEarth                                          | 2021     | 武汉大学                                                  | http://sigma.whu.edu.cn/newspage.php?q=2021_06_27            |                                                          |
+| 4-25                                                         | [PRCV2021cd](https://captain-whu.github.io/PRCV2021_RS/dataset.html) | 变化检测   | 512 * 512                              | 3         | 16000    | 1      | png      | png             | __                 | __           | __                 | __                                                   | 2021     | PRCV                                                      | https://captain-whu.github.io/PRCV2021_RS/dataset.html       |                                                          |
+| [4-26](https://aistudio.baidu.com/aistudio/datasetdetail/126838) | [rsipac2021cd](http://rsipac.whu.edu.cn/subject_two)         | 变化检测   | 512 * 512                              | 3         | 6388     | 1      | tif      | png             | 1~ 2m              | __           | __                 | __                                                   | 2021     | 武汉大学                                                  | http://rsipac.whu.edu.cn/subject_two                         | https://aistudio.baidu.com/aistudio/datasetdetail/126838 |
+| [4-27](https://aistudio.baidu.com/aistudio/datasetdetail/89523) | [Change   Detection Dataset ](https://gitlab.citius.usc.es/hiperespectral/ChangeDetectionDataset) | 变化检测   | 984 * 740、600 * 500、390 * 200        | 224       | 6        | 3、5   | mat      | mat             | __                 | __           | 高光谱             | 机载可视红外成像光谱仪/ AVIRIS，EO1Hyperion          | 2019     | __                                                        | https://gitlab.citius.usc.es/hiperespectral/ChangeDetectionDataset | https://aistudio.baidu.com/aistudio/datasetdetail/89523  |
+| [4-28](https://aistudio.baidu.com/aistudio/datasetdetail/98802) | [river chang dataset](http://crabwq.github.io/)              | 变化检测   | 463 * 241                              | 196       | 2        | 1      | mat      | mat             | 30m                | 10nm         | 高光谱             | EO1Hyperion                                          | 2019     | 西北工业大学                                              | http://crabwq.github.io/                                     | https://aistudio.baidu.com/aistudio/datasetdetail/98802  |
 |                                                              |                                                              | __         | __                                     | __        | __       | __     | __       | __              | __                 | __           | __                 | __                                                   | __       | __                                                        |                                                              |                                                          |
 |                                                              |                                                              | __         | __                                     | __        | __       | __     | __       | __              | __                 | __           | __                 | __                                                   | __       | __                                                        |                                                              |                                                          |
 | [5-1](https://aistudio.baidu.com/aistudio/datasetdetail/87506) | [Dstl   Satellite Imagery Feature Detection](https://www.kaggle.com/c/dstl-satellite-imagery-feature-detection/data) | 实例分割   | 13348 * 3392、837 * 848、134 * 136     | 3、16     | 57       | 10     | tif      | json            | 0.31m, 1.24m, 7.5m | __           | 卫星影像           | WorldView3                                           | 2017     | DefenceScience&TechnologyLaboratory                       | https://www.kaggle.com/c/dstl-satellite-imagery-feature-detection/data | https://aistudio.baidu.com/aistudio/datasetdetail/87506  |
@@ -182,8 +193,14 @@
 |                                                              |                                                              | __         | __                                     | __        | __       | __     | __       | __              | __                 | __           | __                 | __                                                   | __       | __                                                        |                                                              |                                                          |
 |                                                              |                                                              | __         | __                                     | __        | __       | __     | __       | __              | __                 | __           | __                 | __                                                   | __       | __                                                        |                                                              |                                                          |
 | [7-1](https://aistudio.baidu.com/aistudio/datasetdetail/91853) | [UAV123](https://cemse.kaust.edu.sa/ivul/uav123)             | 目标跟踪   | 720 * 1280                             | 3         | 110000   | 12     | jpg      | txt             | __                 | __           | 航拍影像           | UAV (DJIS1000), UAVsimulator                         | 2017     | King Abdullah University of Scienceand Technology         | https://cemse.kaust.edu.sa/ivul/uav123                       | https://aistudio.baidu.com/aistudio/datasetdetail/91853  |
-| 7-2                                                          | [rscuptrc](http://rscup.bjxintong.com.cn/#/theme/5)          | 目标跟踪   | 1000± * 1000±                          | 3         | 6000     | 4      | jpg      | txt             | __                 | __           | __                 | __                                                   | 2019     | __                                                        | http://rscup.bjxintong.com.cn/#/theme/5                      |                                                          |
-| 7-3                                                          | [gf2021 高分辨率光学卫星视频中多目标跟踪数据集](http://sw.chreos.org/challenge/dataset/6) | 目标跟踪   | 1920 * 1080                            | 3         | 20000±   | 2      | jpg      | txt             | 1~ 1.2m            | __           | 卫星影像           | JL1                                                  | 2021     | 中科院                                                    | http://sw.chreos.org/challenge/dataset/6                     |                                                          |
+| [7-2](https://aistudio.baidu.com/aistudio/datasetdetail/138620) | [地/空背景下红外图像弱小飞机目标检测跟踪数据集](http://www.csdata.org/p/387/) | 目标跟踪   | 256 * 256                              | 1         | 16177    | 1      | bmp      | txt             | 10~ 100m           | __           | 航拍影像           | 航拍影像                                             | 2019     | 国防科技大学                                              | http://www.csdata.org/p/387/                                 | https://aistudio.baidu.com/aistudio/datasetdetail/138620 |
+| [7-3](https://aistudio.baidu.com/aistudio/datasetdetail/138957) | [复杂背景下红外弱小运动目标检测数据集](https://www.scidb.cn/en/detail?dataSetId=808025946870251520) | 目标跟踪   | 640 * 512                              | 1         | 150185   | 1      | png      | json            | __                 | __           | 航拍影像           | 航拍影像                                             | 2021     | 国防科技大学                                              | https://www.scidb.cn/en/detail?dataSetId=808025946870251520  | https://aistudio.baidu.com/aistudio/datasetdetail/138957 |
+| [7-4](https://aistudio.baidu.com/aistudio/datasetdetail/137459) | [VisDrone2019-SOT](https://github.com/VisDrone/VisDrone-Dataset) | 目标跟踪   | 3840 * 2160                            | 3         | 1393000  | 10     | jpg      | txt             | 1~ 1.2m            | __           | 航拍影像           | 航拍影像                                             | 2018     | 天津大学                                                  | https://github.com/VisDrone/VisDrone-Dataset                 | https://aistudio.baidu.com/aistudio/datasetdetail/137459 |
+| [7-5](https://aistudio.baidu.com/aistudio/datasetdetail/137018) | [VisDrone2019-MOT](https://github.com/VisDrone/VisDrone-Dataset) | 目标跟踪   | 3840 * 2160                            | 3         | 39988    | 10     | jpg      | txt             | 1~ 1.2m            | __           | 航拍影像           | 航拍影像                                             | 2018     | 天津大学                                                  | https://github.com/VisDrone/VisDrone-Dataset                 | https://aistudio.baidu.com/aistudio/datasetdetail/137018 |
+| [7-6](https://aistudio.baidu.com/aistudio/datasetdetail/138105) | [VISO-SOT](https://satvideodt.github.io/)                    | 目标跟踪   | 1000 * 1000                            | 3         | 32825    | 4      | jpg      | txt             | 0.5~ 1.1m          | __           | 卫星影像           | JL1                                                  | 2021     | 国防科技大学                                              | https://satvideodt.github.io/                                | https://aistudio.baidu.com/aistudio/datasetdetail/138105 |
+| [7-7](https://aistudio.baidu.com/aistudio/datasetdetail/138362) | [VISO-MOT](https://satvideodt.github.io/)                    | 目标跟踪   | 1000 * 1000                            | 3         | 32825    | 4      | jpg      | txt             | 0.5~ 1.1m          | __           | 卫星影像           | JL1                                                  | 2021     | 国防科技大学                                              | https://satvideodt.github.io/                                | https://aistudio.baidu.com/aistudio/datasetdetail/138362 |
+| 7-8                                                          | [rscuptrc](http://rscup.bjxintong.com.cn/#/theme/5)          | 目标跟踪   | 1000± * 1000±                          | 3         | 6000     | 4      | jpg      | txt             | __                 | __           | __                 | __                                                   | 2019     | __                                                        | http://rscup.bjxintong.com.cn/#/theme/5                      |                                                          |
+| 7-9                                                          | [gf2021 高分辨率光学卫星视频中多目标跟踪数据集](http://sw.chreos.org/challenge/dataset/6) | 目标跟踪   | 1920 * 1080                            | 3         | 20000±   | 2      | jpg      | txt             | 1~ 1.2m            | __           | 卫星影像           | JL1                                                  | 2021     | 中科院                                                    | http://sw.chreos.org/challenge/dataset/6                     |                                                          |
 |                                                              |                                                              | __         | __                                     | __        | __       | __     | __       | __              | __                 | __           | __                 | __                                                   | __       | __                                                        |                                                              |                                                          |
 |                                                              |                                                              | __         | __                                     | d         | __       | __     | __       | __              | __                 | __           | __                 | __                                                   | __       | __                                                        |                                                              |                                                          |
 | [8-1](https://aistudio.baidu.com/aistudio/datasetdetail/90740) | [UCM caption](https://github.com/201528014227051/RSICD_optimal) | 图像标题   | 256 * 256                              | 3         | 2100     | 21     | tif      | json            | 1foot              | __           | 卫星影像           | USGS National Map                                    | 2016     | 中科院                                                    | https://github.com/201528014227051/RSICD_optimal             | https://aistudio.baidu.com/aistudio/datasetdetail/90740  |
@@ -193,4 +210,9 @@
 |                                                              |                                                              | __         | __                                     | __        | __       | __     | __       | __              | __                 | __           | __                 | __                                                   | __       | __                                                        |                                                              |                                                          |
 | [9-1](https://aistudio.baidu.com/aistudio/datasetdetail/103972) | [Aerialto Map](https://github.com/phillipi/pix2pix)          | 图像生成   | 600 * 600                              | 3         | 2094     | __     | jpg      | jpg             | __                 | __           | 卫星影像           | GoogleMaps                                           | 2017     | UCBerkeley                                                | https://github.com/phillipi/pix2pix                          | https://aistudio.baidu.com/aistudio/datasetdetail/103972 |
 | [9-2](https://aistudio.baidu.com/aistudio/datasetdetail/134292) | [SateHaze1k](https://www.dropbox.com/s/k2i3p7puuwl2g59/Haze1k.zip?dl=0) | 图像生成   | 512 * 512                              | 3         | 1200     | __     | png      | png             | __                 | __           | 卫星影像           | GF-2, GF-3                                           | 2017     | 清华大学                                                  | https://www.dropbox.com/s/k2i3p7puuwl2g59/Haze1k.zip?dl=0    | https://aistudio.baidu.com/aistudio/datasetdetail/134292 |
-| 9-3                                                          | [SEN12MS-CR](https://mediatum.ub.tum.de/1554803)             | 图像生成   | 256 * 256                              | 13, 2     | 122218   | __     | __       | __              | __                 | __           | 卫星影像           | Sentinel1, Sentinel2                                 | 2020     | TUM                                                       | https://mediatum.ub.tum.de/1554803                           |                                                          |
+| [9-3](https://aistudio.baidu.com/aistudio/datasetdetail/136652) | [WHU MVS](http://gpcv.whu.edu.cn/data/WHU_MVS_Stereo_dataset.html) | 图像生成   | 768 * 384                              | 1         | 28400    | __     | png      | __              | 0.1m               | __           | 航拍影像           | 航拍影像                                             | 2020     | 武汉大学                                                  | http://gpcv.whu.edu.cn/data/WHU_MVS_Stereo_dataset.html      | https://aistudio.baidu.com/aistudio/datasetdetail/136652 |
+| [9-4](https://aistudio.baidu.com/aistudio/datasetdetail/136652) | [WHU Stereo](http://gpcv.whu.edu.cn/data/WHU_MVS_Stereo_dataset.html) | 图像生成   | 768 * 384                              | 1         | 21868    | __     | png      | __              | 0.1m               | __           | 航拍影像           | 航拍影像                                             | 2020     | 武汉大学                                                  | http://gpcv.whu.edu.cn/data/WHU_MVS_Stereo_dataset.html      | https://aistudio.baidu.com/aistudio/datasetdetail/136652 |
+| [9-5](https://aistudio.baidu.com/aistudio/datasetdetail/136567) | [WHU TCL SatMVS 1.0](http://gpcv.whu.edu.cn/data/whu_tlc.html) | 图像生成   | 5120 * 5120                            | 1         | 300      | __     | tif, jpg | __              | 2.1m, 2.5m         | __           | 卫星影像           | ZY3                                                  | 2021     | 武汉大学                                                  | http://gpcv.whu.edu.cn/data/whu_tlc.html                     | https://aistudio.baidu.com/aistudio/datasetdetail/136567 |
+| [9-6](https://aistudio.baidu.com/aistudio/datasetdetail/136567) | [WHU TCL SatMVS 2.0](http://gpcv.whu.edu.cn/data/whu_tlc.html) | 图像生成   | 768 * 384                              | 1         | 5011     | __     | tif      | __              | 2.1m, 2.5m         | __           | 卫星影像           | ZY3                                                  | 2021     | 武汉大学                                                  | http://gpcv.whu.edu.cn/data/whu_tlc.html                     | https://aistudio.baidu.com/aistudio/datasetdetail/136567 |
+| 9-7                                                          | [DLR-ACD](https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-58354/) | 图像生成   | 3619 * 5226                            | 3         | 33       | 1      | __       | __              | 0.045~ 0.15m       | __           | 航拍影像           | 航拍影像                                             | 2019     | German Aerospace Center                                   | https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-58354/ |                                                          |
+| 9-8                                                          | [SEN12MS-CR](https://mediatum.ub.tum.de/1554803)             | 图像生成   | 256 * 256                              | 13, 2     | 122218   | __     | __       | __              | __                 | __           | 卫星影像           | Sentinel1, Sentinel2                                 | 2020     | TUM                                                       | https://mediatum.ub.tum.de/1554803                           |                                                          |