
| <span style="white-space:nowrap;">序号&emsp;</span> | <span style="white-space:nowrap;">&emsp;数据集名称&emsp;</span>| <span style="white-space:nowrap;">任务类型</span> | <span style="white-space:nowarp;">影像尺寸</span> | <span style="white-space:nowrap;">影像<br>通道</span> | <span style="white-space:nowrap;">影像<br>数量</span> | <span style="white-space:nowrap;">标注<br>类别</span> | <span style="white-space:nowrap;">影像<br>格式</span> | <span style="white-space:nowrap;">标注<br>格式</span>  | <span style="white-space:nowrap;">空间<br>分辨率</span> | <span style="white-space:nowrap;">光谱<br>分辨率&emsp;</span> | <span style="white-space:nowrap;">影像类型</span> | <span style="white-space:nowrap;">影像来源</span> | <span style="white-space:nowrap;">发布时间</span> | <span style="white-space:nowrap;">发布机构</span> | <span style="white-space:nowrap;">源地址</span> | <span style="white-space:nowrap;">aistudio地址</span> |
| ----- | ----------------------------------------------------------- | ---------- | --------------------------------------- | --------- | -------- | ------ | -------- | --------------- | ------------------ | ------------ | ------------------ | ---------------------------------------------------- | -------- | ---------------------------------------------------------- | ------------------------------------------------------------ | -------------------------------------------------------- |
| 1-1   | UCMerced LandUse                                            | 图像分类   | 256 * 256                               | 3         | 2100     | 21     | tif      | folder name     | 0.3m               |              | 卫星影像           | USGS National Map                                    | 2010     | University of California, Merced                           | http://weegee.vision.ucmerced.edu/datasets/landuse.html      | https://aistudio.baidu.com/aistudio/datasetdetail/51628  |
| 1-2   | WHU RS19                                                    | 图像分类   | 600 * 600                               | 3         | 1005     | 19     | jpg      | folder name     | 最高0.5m           |              | 卫星影像           | GoogleEarth                                          | 2012     | 武汉大学                                                   | http://captain.whu.edu.cn/repository.html                    | https://aistudio.baidu.com/aistudio/datasetdetail/51733  |
| 1-3   | RSSCN7                                                      | 图像分类   | 400 * 400                               | 3         | 2800     | 7      | jpg      | folder name     |                    |              | 卫星影像           | GoogleEarth                                          | 2015     | 武汉大学                                                   | https://sites.google.com/site/qinzoucn/documents             | https://aistudio.baidu.com/aistudio/datasetdetail/52117  |
| 1-4   | RS_C11                                                      | 图像分类   | 512 * 512                               | 3         | 1232     | 11     | tif      | folder name     | 0.2m               |              | 卫星影像           | GoogleEarth                                          | 2016     | 中科院                                                     | https://www.researchgate.net/publication/271647282_RS_C11_Database/comments | https://aistudio.baidu.com/aistudio/datasetdetail/52227  |
| 1-5   | NWPU RESISC45                                               | 图像分类   | 256 * 256                               | 3         | 31500    | 45     | jpg      | folder name     | 0.2~ 30m           |              | 卫星影像           | GoogleEarth                                          | 2016     | 西北工业大学                                               | https://gcheng-nwpu.github.io/#Datasets                      | https://aistudio.baidu.com/aistudio/datasetdetail/51873  |
| 1-6   | AID                                                         | 图像分类   | 600 * 600                               | 3         | 10000    | 30     | jpg      | folder name     | 0.5~ 8m            |              | 卫星影像           | GoogleEarth                                          | 2017     | 武汉大学                                                   | https://captain-whu.github.io/AID/                           | https://aistudio.baidu.com/aistudio/datasetdetail/52025  |
| 1-7   | RSD46 WHU                                                   | 图像分类   | 256 * 256                               | 3         | 117000   | 46     | png      | folder name     | 0.5~ 2m            |              | 卫星影像           | GoogleEarth, Tianditu                                | 2017     | 武汉大学                                                   | https://github.com/RSIA-LIESMARS-WHU/RSD46-WHU               | https://aistudio.baidu.com/aistudio/datasetdetail/52359  |
| 1-8   | GID                                                         | 图像分类   | 56 * 56                                 | 3、4      | 30000    | 15     | tif      | folder name     |                    |              | 卫星影像           | GF2                                                  | 2018     | 武汉大学                                                   | https://x-ytong.github.io/project/GID.html                   | https://aistudio.baidu.com/aistudio/datasetdetail/55324  |
| 1-9   | PatternNet                                                  | 图像分类   | 256 * 256                               | 3         | 30400    | 38     | jpg      | folder name     | 0.062~ 4.693m      |              | 卫星影像           | GoogleMap                                            | 2018     | 武汉大学                                                   | https://sites.google.com/view/zhouwx/dataset#h.p_Tgef10WTuEFr | https://aistudio.baidu.com/aistudio/datasetdetail/52411  |
| 1-10  | Satellite Images of Hurricane  Damage                       | 图像分类   | 128 * 128                               | 3         | 23000    | 2      | jpeg     | folder name     |                    |              | 卫星影像           | GeoEye1等                                            | 2018     | University of Washington                                   | https://ieee-dataport.org/open-access/detecting-damaged-buildings-post-hurricane-satellite-imagery-based-customized | https://aistudio.baidu.com/aistudio/datasetdetail/88155  |
| 1-11  | How to make high resolution  remote sensing image dataset   | 图像分类   | 256 * 256                               | 3         | 533      | 5      | jpg      | folder name     | 2.38866m           |              | 卫星影像           | GoogleEarth                                          | 2018     |                                                            | https://blog.csdn.net/u012193416/article/details/79472533    | https://aistudio.baidu.com/aistudio/datasetdetail/88597  |
| 1-12  | EuroSAT                                                     | 图像分类   | 64 * 64                                 | 3、13     | 27,000   | 10     | jpg, tif | folder name     | 10m                |              | 卫星影像           | Sentinel2                                            | 2018     | 德国凯泽斯劳滕大学                                         | https://github.com/phelber/eurosat                           | https://aistudio.baidu.com/aistudio/datasetdetail/52650  |
| 1-13  | OPTIMAL 31                                                  | 图像分类   | 256 * 256                               | 3         | 1860     | 31     | jpg      | folder name     |                    |              | 卫星影像           | GoogleEarth                                          | 2019     | 西北工业大学                                               | http://crabwq.github.io/                                     | https://aistudio.baidu.com/aistudio/datasetdetail/51798  |
| 1-14  | WiDSDatathon2019                                            | 图像分类   | 256 * 256                               | 3         | 11000    | 2      | jpg      | csv             | 3m                 |              | 卫星影像           | Planet                                               | 2019     | Stanford                                                   | https://www.kaggle.com/c/widsdatathon2019/data               | https://aistudio.baidu.com/aistudio/datasetdetail/76927  |
| 1-15  | CLRS                                                        | 图像分类   | 256 * 256                               | 3         | 15000    | 25     | tif      | folder name     | 0.26~ 8.85m        |              | 卫星影像           | GoogleEarth, BingMap, GoogleMap,  Tianditu           | 2020     | 中南大学                                                   | https://github.com/lehaifeng/CLRS                            | https://aistudio.baidu.com/aistudio/datasetdetail/76417  |
| 1-16  | SenseEarth Classify                                         | 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  |
| 1-17  | TG1HRSSC                                                    | 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  |
| 1-18  | NaSC TG2                                                    | 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  |
| 1-19  | SAT 4                                                       | 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  |
| 1-20  | SAT 6                                                       | 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  |
| 1-21  | SIRI WHU google                                             | 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  |
| 1-22  | SIRI WHU USGS                                               | 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  |
| 1-23  | RSI CB128                                                   | 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  |
| 1-24  | RSI CB256                                                   | 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  |
| 1-25  | Multi View Datasets CV BrCT                                 | 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  |
| 1-26  | Multi View Datasets AiRound                                 | 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  |
| 1-27  | braziliancoffeescenes                                       | 图像分类   | 64 * 64                                 | 3         | 2,876    |        |          |                 |                    |              | 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 |                                                          |
| 1-28  | Planet: Understanding the Amazon  from Space                | 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 |                                                          |
| 1-29  | rscupcls                                                    | 图像分类   | 512 * 512                               | 3         | 197,121  | 45     | jpg      | folder name     |                    |              |                    |                                                      | 2019     |                                                            | http://rscup.bjxintong.com.cn/#/theme/1                      |                                                          |
|       |                                                             |            |                                         |           |          |        |          |                 |                    |              |                    |                                                      |          |                                                            |                                                              |                                                          |
| 2-1   | 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  |
| 2-2   | OIRDS                                                       | 目标检测   | 256 * 256~640 * 640                     | 3         | 900      | 5      | tif      | OBB             | 0.15m              |              | 卫星影像           | USGS, DARPA, VIVID                                   | 2009     | 雷神公司                                                   | https://sourceforge.net/projects/oirds/                      | https://aistudio.baidu.com/aistudio/datasetdetail/53461  |
| 2-3   | SZTAKI INRIA Building Detection  Benchmark                  | 目标检测   | 700± * 700±                             | 3         | 9        | 1      | jpg      | OBB             |                    |              | 航拍影像、卫星影像 | 航拍影像, 卫星影像                                   | 2012     | MTASZTAKI                                                  | http://web.eee.sztaki.hu/remotesensing/building_benchmark.html | https://aistudio.baidu.com/aistudio/datasetdetail/77674  |
| 2-4   | UCAS_AOD                                                    | 目标检测   | 1000± * 1000±                           | 3         | 976      | 2      | png      | OBB             |                    |              | 航拍影像           | GoogleEarth                                          | 2014     | 中科院                                                     | https://onedrive.hyper.ai/home/UCAS-AOD                      | https://aistudio.baidu.com/aistudio/datasetdetail/53318  |
| 2-5   | NWPUVHR 10                                                  | 目标检测   | 500 * 500~1100 * 1100                   | 3         | 1510     | 10     | jpg      | HBB             | 0.08~ 2m           |              | 卫星影像           | GoogleEarth, Vaihingen                               | 2014     | 西北工业大学                                               | https://gcheng-nwpu.github.io/#Datasets                      | https://aistudio.baidu.com/aistudio/datasetdetail/52812  |
| 2-6   | VEDAI                                                       | 目标检测   | 512 * 512~1024 * 1024                   | 4         | 1210     | 9      | png      | OBB             | 0.125m             |              | 卫星影像           | UtahAGRC                                             | 2015     | 卡昂大学                                                   | https://downloads.greyc.fr/vedai/                            | https://aistudio.baidu.com/aistudio/datasetdetail/53383  |
| 2-7   | HRSC2016                                                    | 目标检测   | 1100± * 1100±                           | 3         | 1061     | 27     | png      | OBB             |                    |              | 卫星影像           | GoogleEarth                                          | 2016     | 西北工业大学                                               | https://sites.google.com/site/hrsc2016/                      | https://aistudio.baidu.com/aistudio/datasetdetail/54106  |
| 2-8   | DLR3k                                                       | 目标检测   | 5616 * 3744                             | 3         | 14235    | 7      | jpg      | OBB             | 0.13m              |              | 航拍影像           | 航拍影像 (CanonEos1DsMarkIII)                        | 2016     | 德国航天航空中心                                           | https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-52777 | https://aistudio.baidu.com/aistudio/datasetdetail/54185  |
| 2-9   | RSOD                                                        | 目标检测   | 1000± * 1000±                           | 3         | 976      | 4      | jpg      | HBB             | 0.3~ 3m            |              | 卫星影像           | GoogleEarth, Tianditu                                | 2017     | 武汉大学                                                   | https://github.com/RSIA-LIESMARS-WHU/RSOD-Dataset-           | https://aistudio.baidu.com/aistudio/datasetdetail/52980  |
| 2-10  | TGRS HRRSD                                                  | 目标检测   | 152 * 152~10569 * 10569                 | 3         | 21761    | 13     | jpg      | HBB             | 0.15~ 1.2m         |              | 卫星影像           | GoogleEarth, BaiduMap                                | 2017     | 中科院                                                     | https://github.com/CrazyStoneonRoad/TGRS-HRRSD-Dataset       | https://aistudio.baidu.com/aistudio/datasetdetail/53186  |
| 2-11  | ships in satellite imagery                                  | 目标检测   | 80 * 80                                 | 3         | 4000     | 1      | png      | HBB             | 3m                 |              | 卫星影像           | Planet                                               | 2017     | PlanetTeam                                                 | https://www.kaggle.com/rhammell/ships-in-satellite-imagery   | https://aistudio.baidu.com/aistudio/datasetdetail/77233  |
| 2-12  | xView                                                       | 目标检测   | 3000± * 3000±                           | 3         | 1129     | 60     | tif      | HBB             | 0.3m               |              | 卫星影像           | WorldView3                                           | 2018     | DIUx                                                       | https://challenge.xviewdataset.org/data-download             | https://aistudio.baidu.com/aistudio/datasetdetail/53622  |
| 2-13  | LEVIR                                                       | 目标检测   | 800 * 600                               | 3         | 22000    | 3      | jpg      | HBB             | 0.2~ 1.0m          |              | 卫星影像           | GoogleEarth                                          | 2018     | 北京航天航空大学                                           | http://levir.buaa.edu.cn/Code.htm                            | https://aistudio.baidu.com/aistudio/datasetdetail/53714  |
| 2-14  | MASATI                                                      | 目标检测   | 512± * 512±                             | 3         | 7,389    | 7      | png      | HBB             | 0.08~ 2m           |              | 卫星影像           | BingMaps                                             | 2018     | 阿利坎特大学                                               | https://www.iuii.ua.es/datasets/masati/                      | https://aistudio.baidu.com/aistudio/datasetdetail/53895  |
| 2-15  | ITCVD                                                       | 目标检测   | 5616 * 3744                             | 3         | 135      | 1      | jpg      | HBB             | 0.1m               |              | 航拍影像           | 航拍影像                                             | 2018     | University of Twente Research  Information                 | https://research.utwente.nl/en/datasets/itcvd-dataset        | https://aistudio.baidu.com/aistudio/datasetdetail/54674  |
| 2-16  | DIOR                                                        | 目标检测   | 800 * 800                               | 3         | 23463    | 20     | jpg      | HBB, OBB        | 0.5~ 30m           |              | 卫星影像           | GoogleEarth                                          | 2019     | 西北工业大学                                               | http://www.escience.cn/people/JunweiHan/DIOR.html            | https://aistudio.baidu.com/aistudio/datasetdetail/53045  |
| 2-17  | iSAID                                                       | 目标检测   | 800 * 800~13000 * 13000                 | 3         | 2806     | 15     | png      | OBB             |                    |              | 卫星影像           | GoogleEarth, JL1, GF2                                | 2019     | 武汉大学                                                   | https://captain-whu.github.io/iSAID/index.html               | https://aistudio.baidu.com/aistudio/datasetdetail/73458  |
| 2-18  | Bridge Dataset                                              | 目标检测   | 4800 * 2843                             | 3         | 500      | 1      | jpg      | HBB             | 0.5m               |              | 卫星影像           | GoogleEarth, OpenStreetMap                           | 2019     | Federal University of Minas  Gerais                        | http://www.patreo.dcc.ufmg.br/2019/07/10/bridge-dataset/     | https://aistudio.baidu.com/aistudio/datasetdetail/57457  |
| 2-19  | RarePlanes                                                  | 目标检测   | 512 * 512                               | 3         | 1507     | 10     | png      | HBB             | 0.3~ 1.5m          |              | 卫星影像           | WorldView3                                           | 2020     | In-Q-Tel                                                   | https://www.cosmiqworks.org/RarePlanes/                      | https://aistudio.baidu.com/aistudio/datasetdetail/70215  |
| 2-20  | FAIR1M                                                      | 目标检测   | 1000 * 100~100000 * 10000               | 3         | 15000    | 37     | tif      | OBB             | 0.3~ 0.8m          |              | 卫星影像           | Gaofensatellites, GoogleEarth                        | 2021     | 中科院                                                     | [http://gaofen-challenge.com](http://gaofen-challenge.com/)  | https://aistudio.baidu.com/aistudio/datasetdetail/78453  |
| 2-21  | VisDrone2019 DET                                            | 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  |
| 2-22  | DOTA1.0                                                     | 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  |
| 2-23  | DOTA1.5                                                     | 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  |
| 2-24  | DOTA2.0                                                     | 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  |
| 2-25  | 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/                                |                                                          |
| 2-26  | Functional Map of theWorld  Challenge                       | 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                              |                                                          |
| 2-27  | CARPK                                                       | 目标检测   |                                         |           | 1,573    |        | png      |                 |                    |              | 航拍影像           | 航拍影像                                             | 2017     | 台湾国立大学                                               | https://lafi.github.io/LPN/                                  |                                                          |
| 2-28  | MAFAT Challenge                                             | 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          |                                                          |
| 2-29  | rscupdet                                                    | 目标检测   | 1024 * 1024                             | 3         | 2423     |        | png      | OBB             |                    |              | 卫星影像           | GF, JL, GoogleEarth, Aerial                          | 2019     |                                                            | http://rscup.bjxintong.com.cn/#/theme/2                      |                                                          |
|       |                                                             |            |                                         |           |          |        |          |                 |                    |              |                    |                                                      |          |                                                            |                                                              |                                                          |
| 3-1   | 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 |
| 3-2   | Zurich Summer                                               | 图像分割   | 1000± * 1000±                           | 4         | 20       | 8      | tif      | tif             | 0.62m              |              | 卫星影像           | QuickBird                                            | 2015     | TheUniversityofEdinburgh,Sc                                | https://sites.google.com/view/zhouwx/dataset#h.p_hQS2jYeaFpV0 | https://aistudio.baidu.com/aistudio/datasetdetail/55102  |
| 3-3   | ERM PAIW                                                    | 图像分割   | 4000± * 4000±                           | 3         | 41       | 1      | png, jpg | tif             |                    |              | 航拍影像           | 航拍影像                                             | 2015     | German AerospaceCenter (DLR)                               | https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-52776 | https://aistudio.baidu.com/aistudio/datasetdetail/57293  |
| 3-4   | HD Maps                                                     | 图像分割   | 4000± * 4000±                           | 3         | 20       | 5      | png      | png             |                    |              | 航拍影像           | 航拍影像                                             | 2016     | German AerospaceCenter (DLR)                               | https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-52773 | https://aistudio.baidu.com/aistudio/datasetdetail/57162  |
| 3-5   | BDCI2017                                                    | 图像分割   | 8000± * 8000±                           | 3         | 5        | 5      | png      | png             |                    |              | 卫星影像           |                                                      | 2017     | BDCI                                                       | https://www.datafountain.cn/competitions/270                 | https://aistudio.baidu.com/aistudio/datasetdetail/55424  |
| 3-6   | Learning Aerial Image  Segmentation From Online Maps        | 图像分割   | 3000± * 3000±                           | 3         | 1671     | 2      | png      | png             |                    |              | 卫星影像、航拍影像 | GoogleMaps, OpenStreetMap                            | 2017     | THZürich                                                   | https://zenodo.org/record/1154821                            | https://aistudio.baidu.com/aistudio/datasetdetail/56140  |
| 3-7   | Inria Aerial Image Labeling  Dataset                        | 图像分割   |                                         |           |          | 1      | tif      |                 | 0.3m               |              | 航拍影像           |                                                      | 2017     | Inria Sophia  Antipolis-Mediterranee, TITANEte             | https://project.inria.fr/aerialimagelabeling/                |                                                          |
| 3-8   | WHDLD                                                       | 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   | DLRSD                                                       | 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  | 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  | AIRS                                                        | 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  | 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  | Drone Deploy                                                | 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  | Road Tracer                                                 | 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  | Land Cover from Aerial Imagery  (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  |
| 3-16  | UAVid                                                       | 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  |
| 3-17  | AI + 遥感影像                                               | 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  |
| 3-18  | BDCI2020                                                    | 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  |
| 3-19  | mini Inria Aerial Image Labeling  Dataset                   | 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  |
| 3-20  | 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 |
| 3-21  | Massachusetts Roads                                         | 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  |
| 3-22  | Massachusetts Builds                                        | 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  |
| 3-23  | Deep Globe Land Cover  Classification Challenge             | 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  |
| 3-24  | Deep Globe Road Detection  Challenge                        | 图像分割   | 1024 * 1024                             | 3、14     | 6,226    | 1      | jpg      | png             | 0.5m               |              | 卫星影像           | DigitalGlobe                                         | 2018     | CVPR                                                       | http://deepglobe.org/challenge.html                          | https://aistudio.baidu.com/aistudio/datasetdetail/55682  |
| 3-25  | WHU Building Dataset, Satellite  datasetⅠ (globalcities)    | 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  |
| 3-26  | WHU Building Dataset, Satellite  datasetⅡ (EastAsia)        | 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  |
| 3-27  | WHU Building Dataset, Aerial  imagery dataset               | 图像分割   | 512 * 512                               | 3         | 8,189    | 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  |
| 3-28  | ORSSD                                                       | 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  |
| 3-29  | EORSSD                                                      | 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  |
| 3-30  | 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  |
| 3-31  | 95 Cloud: An Extension to 38 Cloud Dataset                  | 图像分割   | 384 * 384                               | 4         | 34,701   | 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  |
| 3-32  | Postdam                                                     | 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  |
| 3-33  | Vaihingen                                                   | 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  |
| 3-34  | GID Fine Land cover  Classification 15 classes              | 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  |
| 3-35  | GID Large scale Classification 5  classes                   | 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  |
| 3-36  | UDD5                                                        | 图像分割   | 4096± * 2160±                           | 3         | 160      | 5      | png      | png             |                    |              | 无人机数据         | DJIPhantom4                                          | 2018     | 北京大学                                                   | https://github.com/MarcWong/UDD                              | https://aistudio.baidu.com/aistudio/datasetdetail/75675  |
| 3-37  | UDD6                                                        | 图像分割   | 4096± * 2160±                           | 3         | 141      | 6      | png      | png             |                    |              | 无人机数据         | DJIPhantom4                                          | 2018     | 北京大学                                                   | https://github.com/MarcWong/UDD                              | https://aistudio.baidu.com/aistudio/datasetdetail/75675  |
| 3-38  | BH POOLS                                                    | 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  |
| 3-39  | BH WATERTANKS                                               | 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  |
| 3-40  | BDCI2017                                                    | 图像分割   | 8000± * 8000±                           | 3         | 5        | 5      | png      | png             |                    |              |                    |                                                      | 2017     |                                                            | https://www.datafountain.cn/competitions/270                 |                                                          |
| 3-41  | Deep Globe Building Extraction  Challenge                   | 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                          |                                                          |
| 3-42  | rscupseg                                                    | 图像分割   | 7200 * 6800                             | 4         | 20       | 16     | tif      | tif             | 4m                 |              | 卫星影像           | GF2                                                  | 2019     |                                                            | http://rscup.bjxintong.com.cn/#/theme/3                      |                                                          |
| 3-43  | 2020数字中国创新大赛                                        | 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 |                                                          |
| 3-44  | “华为云杯”2020人工智能创新应用大赛                          | 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 |                                                          |
| 3-45  | 2021全国数字生态创新大赛                                    | 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 |                                                          |
| 3-46  | LRSNY                                                       | 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 |                                                          |
| 3-47  | rsipacseg                                                   | 图像分割   | 512 * 512                               | 3、4      | 70000    | 9、47  | tif      | png             | 0.8~ 2m            |              |                    |                                                      | 2021     | 武汉大学                                                   | http://rsipac.whu.edu.cn/subject_one                         |                                                          |
|       |                                                             |            |                                         |           |          |        |          |                 |                    |              |                    |                                                      |          |                                                            |                                                              |                                                          |
| 4-1   | SZTAKI INRIA Air Change                                     | 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  |
| 4-2   | AIST Building Change Detection  (fixed scale)               | 变化检测   | 160 * 160                               | 6         | 8506     | 1      | tif      | csv             | 0.4m               |              | 航拍影像           | 航拍影像                                             | 2017     | AIST                                                       | https://github.com/gistairc/ABCDdataset                      | https://aistudio.baidu.com/aistudio/datasetdetail/79596  |
| 4-3   | AIST Building Change Detection  (resized)                   | 变化检测   | 128 * 128                               | 3         | 8446     | 1      | tif      | csv             | 0.5m               |              | 航拍影像           | 航拍影像                                             | 2017     | AIST                                                       | https://github.com/gistairc/ABCDdataset                      | https://aistudio.baidu.com/aistudio/datasetdetail/79596  |
| 4-4   | WHU Building Change Detection  Dataset                      | 变化检测   | 32207 * 15354                           | 3         | 2        | 1      | tif      | tif, shp        | 0.2m               |              | 航拍影像           | 航拍影像                                             | 2018     | 武汉大学                                                   | https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html | https://aistudio.baidu.com/aistudio/datasetdetail/79035  |
| 4-5   | 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   | Onera Satellite Change Detection                            | 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   | Multi temporal SceneWuHan                                   | 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   | High Resolution Semantic Change                             | 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   | xBD                                                         | 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  | Google dataset                                              | 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  | LEVIR CD                                                    | 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  | SenseEarth Change Detection                                 | 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  | SEmantic Change detectiON Data                              | 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  | Sentinel 2 Multitemporal Cities Pairs                       | 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  | SunYat SenUniversity 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  | [飞粤云端2017]广东政务数据创新大赛                          | 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 |                                                          |
| 4-17  | rscupcd                                                     | 变化检测   | 960 * 960                               | 4         | 40       | 1      | tif      | tif             |                    |              |                    |                                                      | 2020     |                                                            | http://rscup.bjxintong.com.cn/#/theme/4                      |                                                          |
| 4-18  | PRCV2021cd                                                  | 变化检测   | 512 * 512                               | 3         | 16000    | 1      | png      | png             |                    |              |                    |                                                      |          |                                                            |                                                              |                                                          |
| 4-19  | rsipac2021cd                                                | 变化检测   | 512 * 512                               | 3         | 6,388    | 1      | tif      | png             | 1~ 2m              |              |                    |                                                      | 2021     | 武汉大学                                                   | http://rsipac.whu.edu.cn/subject_two                         | https://aistudio.baidu.com/aistudio/datasetdetail/126838 |
|       |                                                             |            |                                         |           |          |        |          |                 |                    |              |                    |                                                      |          |                                                            |                                                              |                                                          |
| 5-1   | Dstl Satellite Imagery Feature  Detection                   | 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  |
| 5-2   | Map Challenge                                               | 实例分割   | 300 * 300                               | 3         | 341,058  | 1      | jpg      | json            |                    |              | 卫星影像           | GoogleMap                                            | 2018     | crowdAI                                                    | [https://www.crowdai.org/challenges/mapping-challengehttps://www.jianshu.com/p/90efc39975da](https://www.crowdai.org/challenges/mapping-challenge       https:/www.jianshu.com/p/90efc39975da) | https://aistudio.baidu.com/aistudio/datasetdetail/54858  |
| 5-3   | Open AI Tanzania Building  Footprint Segmentation Challenge | 实例分割   | 40000± * 40000±                         | 3         | 13       | 3      | tif      | json            |                    |              | 航拍影像           | 航拍影像                                             | 2018     | jordan                                                     | https://competitions.codalab.org/competitions/20100          | https://aistudio.baidu.com/aistudio/datasetdetail/76145  |
| 5-4   | Sentinel 2 Cloud Mask Catalogue                             | 实例分割   | 1022 * 1022                             | 13        | 513      | 3      | npy      | npy, shp        | 20m                |              | 卫星影像           | Sentinel2                                            | 2020     |                                                            | https://zenodo.org/record/4172871                            | https://aistudio.baidu.com/aistudio/datasetdetail/105196 |
| 5-5   | Airbus Ship Detection Challenge                             | 实例分割   | 768 * 768                               | 3         | 40000+   | 1      | jpg      | csv             |                    |              | 航拍影像           | 航拍影像                                             | 2018     | Airbus                                                     | https://www.kaggle.com/c/airbus-ship-detection               |                                                          |
|       |                                                             |            |                                         |           |          |        |          |                 |                    |              |                    |                                                      |          |                                                            |                                                              |                                                          |
| 6-1   | MLRSNet                                                     | 多标签分类 | 256 * 256                               | 3         | 109,161  | 46     | jpg      | csv             | 0.1~ 10m           |              | 卫星影像           | GoogleEarth                                          | 2020     | 中国地质大学                                               | https://data.mendeley.com/datasets/7j9bv9vwsx/2              | https://aistudio.baidu.com/aistudio/datasetdetail/76804  |
| 6-2   | planet: understanding the amazon  from space                | 多标签分类 | 256 * 256                               | 4         | 150000+  | 17     | tif, jpg | csv             | 3~ 3.7m            |              | 卫星影像           | Planet                                               | 2017     | planet                                                     | https://www.kaggle.com/c/planet-understanding-the-amazon-from-space/data |                                                          |
| 6-3   | Big Earth Net                                               | 多标签分类 | 120 * 12060 * 6020 * 20;                | 3         | 590326   | 43     | tif      | json            | 10m, 20m, 60m      |              | 卫星影像           | Sentinel1, Sentinel2                                 | 2019     | 柏林工业大学                                               | https://bigearth.net/                                        |                                                          |
|       |                                                             |            |                                         |           |          |        |          |                 |                    |              |                    |                                                      |          |                                                            |                                                              |                                                          |
| 7-1   | 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                                                    | 目标跟踪   | 1000± * 1000±                           | 3         | 6000     | 4      | jpg      | txt             |                    |              |                    |                                                      | 2019     |                                                            | http://rscup.bjxintong.com.cn/#/theme/5                      |                                                          |
|       |                                                             |            |                                         |           |          |        |          |                 |                    |              |                    |                                                      |          |                                                            |                                                              |                                                          |
|       |                                                             |            |                                         |           |          |        |          |                 |                    |              |                    |                                                      |          |                                                            |                                                              |                                                          |
| 8-1   | UCM caption                                                 | 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  |
| 8-2   | Sydney caption                                              | 图像标题   | 500 * 500                               | 3         | 613      | 7      | tif      | json            | 0.5m               |              | 卫星影像           | GoogleEarth                                          | 2016     | 中科院                                                     | https://github.com/201528014227051/RSICD_optimal             | https://aistudio.baidu.com/aistudio/datasetdetail/91126  |
| 8-3   | RSICD                                                       | 图像标题   | 224 * 224                               | 3         | 10921    | 30     | jpg      | json            |                    |              | 卫星影像           | GoogleEarth, BaiduMap, MapABC,  Tianditu             | 2017     | IEEE                                                       | https://github.com/201528014227051/RSICD_optimal             | https://aistudio.baidu.com/aistudio/datasetdetail/90307  |
|       |                                                             |            |                                         |           |          |        |          |                 |                    |              |                    |                                                      |          |                                                            |                                                              |                                                          |
| 9-1   | Aerialto Map                                                | 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 |
|       |                                                             |            |                                         |           |          |        |          |                 |                    |              |                    |                                                      |          |                                                            |                                                              |                                                          |
|       |                                                             |            |                                         |           |          |        |          |                 |                    |              |                    |                                                      |          |                                                            |                                                              |                                                          |
| 11-1  | Salinas scene                                               | 图像分割   | 512 * 217                               | 224       | 1        | 16     | mat      | mat             | 3.7m               | 10nm         | 航拍影像           | 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  |
| 11-2  | Salinas Ascene                                              | 图像分割   | 83 * 86                                 | 224       | 1        | 6      | mat      | mat             | 3.7m               | 10nm         | 航拍影像           | 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  |
| 11-3  | Pavia Centre scene                                          | 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  |
| 11-4  | Pavia University scene                                      | 图像分割   | 610 * 610                               | 103       | 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  |
| 11-5  | Washington DCMALL                                           | 图像分割   | 1280 * 307                              | 191       | 1        | 7      | tif      | tif             |                    | 10nm         | 航拍影像           | 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  |
| 11-6  | Ikennedy Space Center                                       | 图像分割   | 512 * 614                               | 176       | 1        | 13     | mat      | mat             | 0.18m              | 10nm         | 航拍影像           | 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  |
| 11-7  | Botswana                                                    | 图像分割   | 1476 * 256                              | 145       | 1        | 14     | mat      | mat             | 30m                |              | 卫星影像           | EO1                                                  | 2014     |                                                            | http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes | https://aistudio.baidu.com/aistudio/datasetdetail/82578  |
| 11-8  | Indian Pines                                                | 图像分割   | 145 * 145、614 * 1848、2678 * 614       | 224       | 3        | 16     | tif      | tif             |                    | 10nm         | 航拍影像           | 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  |
| 11-9  | HyRANK                                                      | 图像分割   | 250± * 1000±                            | 176       | 5        | 14     | tif      | tif             | 30m                |              | 卫星影像           | EO1                                                  | 2018     | National Technical University of  Athen                    | https://www2.isprs.org/commissions/comm3/wg4/hyrank/         | https://aistudio.baidu.com/aistudio/datasetdetail/80840  |
| 11-10 | XiongAn hyperspectral dataset                               | 图像分割   | 3750 * 1580                             | 250       | 1        | 19     | img      | img             | 0.5m               | 2.4nm        | 航拍影像           | 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 |
|       |                                                             |            |                                         |           |          |        |          |                 |                    |              |                    |                                                      |          |                                                            |                                                              |                                                          |
| 12-1  | Change Detection Dataset                                    | 变化检测   | 984 * 740、600 * 500、390 * 200         | 224       | 6        | 3、5   | mat      | mat             |                    |              | 卫星影像，航拍影像 | 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  |
| 12-2  | river chang dataset                                         | 变化检测   | 463 * 241                               | 196       | 2        | 1      | mat      | mat             | 30m                | 10nm         | 卫星影像           | EO1Hyperion                                          | 2019     | 西北工业大学                                               | http://crabwq.github.io/                                     | https://aistudio.baidu.com/aistudio/datasetdetail/98802  |
|       |                                                             |            |                                         |           |          |        |          |                 |                    |              |                    |                                                      |          |                                                            |                                                              |                                                          |
|       |                                                             |            |                                         |           |          |        |          |                 |                    |              |                    |                                                      |          |                                                            |                                                              |                                                          |
| 21-1  | MSTAR                                                       | 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  |
|       |                                                             |            |                                         |           |          |        |          |                 |                    |              |                    |                                                      |          |                                                            |                                                              |                                                          |
| 22-1  | SSDD                                                        | 目标检测   | 500 * 500                               | 1         | 1160     | 1      | jpg      | HBB, OBB        | 1~ 15m             |              | SAR                | RadarSat2, TerraSARX, Sentinel1                      | 2017     | 武汉大学                                                   | https://zhuanlan.zhihu.com/p/58404659                        | https://aistudio.baidu.com/aistudio/datasetdetail/54806  |
| 22-2  | OpenSARShip                                                 | 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  |
| 22-3  | 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  |
| 22-4  | AIR SARShip1.0                                              | 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  |
| 22-5  | AIR SARShip2.0                                              | 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  |
|       |                                                             |            |                                         |           |          |        |          |                 |                    |              |                    |                                                      |          |                                                            |                                                              |                                                          |
| 23-1  | AIR PolSAR Seg                                              | 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 |