[简体中文](dataset_cn.md) | English

# Remote Sensing Open Source Datasets

PaddleRS has collected and summarized the most commonly used **open source** datasets in the field of remote sensing, providing the following information for each data set: dataset description, image information, annotation information, source address, and AI Studio backup link. According to the task type, these data sets can be divided into **image classification, image segmentation, change detection, object detection, object tracking, multi-label classification, image generation**, and other types. Currently, the collected remote sensing datasets include:

* 32 image classification datasets;
* 40 object detection datasets;
* 70 image segmentation datasets;
* 28 change detection datasets;
* 7 instance segmentation datasets;
* 3 multi-label classification datasets;
* 9 object tracking datasets;
* 3 image caption datasets;
* 8 image generation datasets.

Visit [Remote Sensing Data Set Summary](./dataset_summary_en.md) for more information.

## Dataset of Special Contribution

* The CHN6-CUG dataset is provided by Professor [Qiqi Zhu](http://grzy.cug.edu.cn/zhuqiqi) from China University of Geosciences. Please refer to [this website](http://grzy.cug.edu.cn/zhuqiqi/zh_CN/yjgk/32368/content/1733.htm) for more information.