diff --git a/docs/data/dataset_cn.md b/docs/data/dataset_cn.md index 30e1379..bc661bd 100644 --- a/docs/data/dataset_cn.md +++ b/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 diff --git a/docs/data/dataset_summary.md b/docs/data/dataset_summary.md index 2f9bb41..0cdd278 100644 --- a/docs/data/dataset_summary.md +++ b/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 | | \ No newline at end of file +| [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 | | \ No newline at end of file