HuQiong
/
PaddleRS
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Merge pull request #44 from huilin16/dataset

Browse Source 
[Dataset] dataset description and format update
own
yzl19940819 3 years ago committed by GitHub
parent 7e74e85ab7 5f68510339
commit 1aa5cacc26
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 206 additions and 198 deletions
Whitespace
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
Split View
Diff Options
Show Stats Download Patch File Download Diff File
  1. 32
      docs/data/dataset_cn.md
  2. 372
      docs/data/dataset_summary.md

32
docs/data/dataset_cn.md
Unescape View File

@ -1,4 +1,4 @@
PaddleRS也搜集汇总了 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
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**；
@ -6,31 +6,19 @@ PaddleRS也搜集汇总了 遥感影像领域 常用的 **开源**深度学习
* 数据集的**源地址**；
* **aistudio备份链接**
这些数据集按影像类型分为 **可见光、高光谱、SAR** 三类，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
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：
目前已收录的遥感数据集：
**航拍与卫星/可见光影像** ：
* 图像分类数据集29个；
* 目标检测数据集29个；
* 图像分割数据集47个；
* 变化检测数据集19个；
* 实例分割数据集5个；
* 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；
* 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2个；
* 目标跟踪数据集3个；
* 图像标题数据集3个；
* 图像生成数据集1个
**高光谱影像** ：
* 图像分割数据集10个；
* 变化检测数据集2个
**SAR影像** ：
* 图像生成数据集4个
* 图像分类数据集1个；
* 图像分割数据集5个；
* 变化检测数据集1个
欢迎访问[遥感数据集汇总](./dataset_summary.md)，获取详细数据集内容

372
docs/data/dataset_summary.md
Unescape View File

@ -1,176 +1,196 @@
| <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 |
| <span style="white-space:nowrap;">序号<br>(aistudio<br>链接)</span> | <span style="white-space:nowrap;">&emsp;数据集名称&emsp;<br>(源链接)</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](https://aistudio.baidu.com/aistudio/datasetdetail/51628) | [UCMerced LandUse](http://weegee.vision.ucmerced.edu/datasets/landuse.html) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/51733) | [WHU RS19](http://captain.whu.edu.cn/repository.html) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/52117) | [RSSCN7](https://sites.google.com/site/qinzoucn/documents) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/52227) | [RS_C11](https://www.researchgate.net/publication/271647282_RS_C11_Database/comments) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/51873) | [NWPU RESISC45](https://gcheng-nwpu.github.io/#Datasets) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/52025) | [AID](https://captain-whu.github.io/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](https://aistudio.baidu.com/aistudio/datasetdetail/52359) | [RSD46 WHU](https://github.com/RSIA-LIESMARS-WHU/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](https://aistudio.baidu.com/aistudio/datasetdetail/55324) | [GID](https://x-ytong.github.io/project/GID.html) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/52411) | [PatternNet](https://sites.google.com/view/zhouwx/dataset#h.p_Tgef10WTuEFr) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/88155) | [Satellite Images of Hurricane Damage](https://ieee-dataport.org/open-access/detecting-damaged-buildings-post-hurricane-satellite-imagery-based-customized) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/88597) | [How to make high resolution remote sensing image dataset](https://blog.csdn.net/u012193416/article/details/79472533) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/52650) | [EuroSAT](https://github.com/phelber/eurosat) | 图像分类 | 64 * 64 | 3、13 | 27000 | 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](https://aistudio.baidu.com/aistudio/datasetdetail/135146) | [HistAerial Dataset](http://eidolon.univ-lyon2.fr/~remi1/HistAerialDataset/) | 图像分类 | 25 * 25, 50 * 50 , 100 * 100 | 1 | 42000 | 7 | png | folder name | __ | __ | 航拍影像 | 航拍影像 | 2019 | Univ Lyon | http://eidolon.univ-lyon2.fr/~remi1/HistAerialDataset/ | https://aistudio.baidu.com/aistudio/datasetdetail/135146 |
| [1-14](https://aistudio.baidu.com/aistudio/datasetdetail/51798) | [OPTIMAL 31](http://crabwq.github.io/) | 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 |
| [1-15](https://aistudio.baidu.com/aistudio/datasetdetail/76927) | [WiDSDatathon2019](https://www.kaggle.com/c/widsdatathon2019/data) | 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 |
| [1-16](https://aistudio.baidu.com/aistudio/datasetdetail/76417) | [CLRS](https://github.com/lehaifeng/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 |
| [1-17](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 |
| | | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | | |
| | | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | | |
| [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 |
| [2-2](https://aistudio.baidu.com/aistudio/datasetdetail/53461) | [OIRDS](https://sourceforge.net/projects/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](https://aistudio.baidu.com/aistudio/datasetdetail/77674) | [SZTAKI INRIA Building Detection Benchmark](http://web.eee.sztaki.hu/remotesensing/building_benchmark.html) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/53318) | [UCAS_AOD](https://onedrive.hyper.ai/home/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](https://aistudio.baidu.com/aistudio/datasetdetail/52812) | [NWPUVHR 10](https://gcheng-nwpu.github.io/#Datasets) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/53383) | [VEDAI](https://downloads.greyc.fr/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](https://aistudio.baidu.com/aistudio/datasetdetail/54106) | [HRSC2016](https://sites.google.com/site/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](https://aistudio.baidu.com/aistudio/datasetdetail/54185) | [DLR3k](https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-52777) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/52980) | [RSOD](https://github.com/RSIA-LIESMARS-WHU/RSOD-Dataset-) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/53186) | [TGRS HRRSD](https://github.com/CrazyStoneonRoad/TGRS-HRRSD-Dataset) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/77233) | [ships in satellite imagery](https://www.kaggle.com/rhammell/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](https://aistudio.baidu.com/aistudio/datasetdetail/53622) | [xView](https://challenge.xviewdataset.org/data-download) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/53714) | [LEVIR](http://levir.buaa.edu.cn/Code.htm) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/53895) | [MASATI](https://www.iuii.ua.es/datasets/masati/) | 目标检测 | 512± * 512± | 3 | 7389 | 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](https://aistudio.baidu.com/aistudio/datasetdetail/54674) | [ITCVD](https://research.utwente.nl/en/datasets/itcvd-dataset) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/53045) | [DIOR](http://www.escience.cn/people/JunweiHan/DIOR.html) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/73458) | [iSAID](https://captain-whu.github.io/iSAID/index.html) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/57457) | [Bridge Dataset](http://www.patreo.dcc.ufmg.br/2019/07/10/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](https://aistudio.baidu.com/aistudio/datasetdetail/70215) | [RarePlanes](https://www.cosmiqworks.org/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](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 | |
| | | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | | |
| | | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | | |
| [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 |
| [3-2](https://aistudio.baidu.com/aistudio/datasetdetail/55102) | [Zurich Summer](https://sites.google.com/view/zhouwx/dataset#h.p_hQS2jYeaFpV0) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/57293) | [ERM PAIW](https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-52776) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/57162) | [HD Maps](https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-52773) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/55424) | [BDCI2017](https://www.datafountain.cn/competitions/270) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/56140) | [Learning Aerial Image Segmentation From Online Maps](https://zenodo.org/record/1154821) | 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](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 | |
| | | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | | |
| | | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | | |
| [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 |
| [4-2](https://aistudio.baidu.com/aistudio/datasetdetail/79596) | [AIST Building Change Detection (fixed scale)](https://github.com/gistairc/ABCDdataset) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/79596) | [AIST Building Change Detection (resized)](https://github.com/gistairc/ABCDdataset) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/79035) | [WHU Building Change Detection Dataset](https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html) | 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](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 |
| | | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | | |
| | | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | | |
| [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 |
| [5-2](https://aistudio.baidu.com/aistudio/datasetdetail/54858) | [Map Challenge](https://www.crowdai.org/challenges/mapping-challengehttps:/www.jianshu.com/p/90efc39975da) | 实例分割 | 300 * 300 | 3 | 341058 | 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-challengehttps:/www.jianshu.com/p/90efc39975da) | https://aistudio.baidu.com/aistudio/datasetdetail/54858 |
| [5-3](https://aistudio.baidu.com/aistudio/datasetdetail/76145) | [Open AI Tanzania Building Footprint Segmentation Challenge](https://competitions.codalab.org/competitions/20100) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/105196) | [Sentinel 2 Cloud Mask Catalogue](https://zenodo.org/record/4172871) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/131700) | [CASIA-aircraft](https://www.rsaicp.com/portal/dataDetail?id=16) | 实例分割 | 399 * 399 | 3 | 40696 | 3 | jpg | xml | __ | __ | 卫星影像 | GoogleEarth | 2021 | 中科院 | https://www.rsaicp.com/portal/dataDetail?id=16 | https://aistudio.baidu.com/aistudio/datasetdetail/131700 |
| [5-6](https://aistudio.baidu.com/aistudio/datasetdetail/131586) | [CASIA-Ship](https://www.rsaicp.com/portal/dataDetail?id=14) | 实例分割 | 1680 * 913 | 3 | 791 | 1 | jpg | json | __ | __ | 卫星影像 | GoogleEarth | 2021 | 中科院 | https://www.rsaicp.com/portal/dataDetail?id=14 | https://aistudio.baidu.com/aistudio/datasetdetail/131586 |
| 5-7 | [Airbus Ship Detection Challenge](https://www.kaggle.com/c/airbus-ship-detection) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/76804) | [MLRSNet](https://data.mendeley.com/datasets/7j9bv9vwsx/2) | 多标签分类 | 256 * 256 | 3 | 109161 | 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](https://www.kaggle.com/c/planet-understanding-the-amazon-from-space/data) | 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](https://bigearth.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](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 | |
| | | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | __ | | |
| | | __ | __ | 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 |
| [8-2](https://aistudio.baidu.com/aistudio/datasetdetail/91126) | [Sydney caption](https://github.com/201528014227051/RSICD_optimal) | 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](https://aistudio.baidu.com/aistudio/datasetdetail/90307) | [RSICD](https://github.com/201528014227051/RSICD_optimal) | 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](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 | |
Write Preview
Loading…
Cancel
Save