简体中文 | English
| Index (aistudio link) |
Dataset Name (source link) |
Task Type | Image Size | Image Channels |
Image Number |
Label Category |
Image Format |
Label Format |
Spatial Resolution |
Spectral Resolution |
Image Type | Image Source | Release Time | Release Agency | Source Link | Aistudio Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1-1 | UCMerced LandUse | Image Classification | 256 * 256 | 3 | 2100 | 21 | tif | folder name | 0.3m | __ | Satellite image | 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 | Image Classification | 600 * 600 | 3 | 1005 | 19 | jpg | folder name | max 0.5m | __ | Satellite image | GoogleEarth | 2012 | Wuhan University | http://captain.whu.edu.cn/repository.html | https://aistudio.baidu.com/aistudio/datasetdetail/51733 |
| 1-3 | RSSCN7 | Image Classification | 400 * 400 | 3 | 2800 | 7 | jpg | folder name | __ | __ | Satellite image | GoogleEarth | 2015 | Wuhan University | https://sites.google.com/site/qinzoucn/documents | https://aistudio.baidu.com/aistudio/datasetdetail/52117 |
| 1-4 | RS_C11 | Image Classification | 512 * 512 | 3 | 1232 | 11 | tif | folder name | 0.2m | __ | Satellite image | GoogleEarth | 2016 | Chinese Academy of Sciences | https://www.researchgate.net/publication/271647282_RS_C11_Database/comments | https://aistudio.baidu.com/aistudio/datasetdetail/52227 |
| 1-5 | NWPU RESISC45 | Image Classification | 256 * 256 | 3 | 31500 | 45 | jpg | folder name | 0.2~ 30m | __ | Satellite image | GoogleEarth | 2016 | Northwestern Polytechnical University | https://gcheng-nwpu.github.io/#Datasets | https://aistudio.baidu.com/aistudio/datasetdetail/51873 |
| 1-6 | AID | Image Classification | 600 * 600 | 3 | 10000 | 30 | jpg | folder name | 0.5~ 8m | __ | Satellite image | GoogleEarth | 2017 | Wuhan University | https://captain-whu.github.io/AID/ | https://aistudio.baidu.com/aistudio/datasetdetail/52025 |
| 1-7 | RSD46 WHU | Image Classification | 256 * 256 | 3 | 117000 | 46 | png | folder name | 0.5~ 2m | __ | Satellite image | GoogleEarth, Tianditu | 2017 | Wuhan University | https://github.com/RSIA-LIESMARS-WHU/RSD46-WHU | https://aistudio.baidu.com/aistudio/datasetdetail/52359 |
| 1-8 | GID | Image Classification | 56 * 56 | 3, 4 | 30000 | 15 | tif | folder name | __ | __ | Satellite image | GF2 | 2018 | Wuhan University | https://x-ytong.github.io/project/GID.html | https://aistudio.baidu.com/aistudio/datasetdetail/55324 |
| 1-9 | PatternNet | Image Classification | 256 * 256 | 3 | 30400 | 38 | jpg | folder name | 0.062~ 4.693m | __ | Satellite image | GoogleMap | 2018 | Wuhan University | https://sites.google.com/view/zhouwx/dataset#h.p_Tgef10WTuEFr | https://aistudio.baidu.com/aistudio/datasetdetail/52411 |
| 1-10 | Satellite Images of Hurricane Damage | Image Classification | 128 * 128 | 3 | 23000 | 2 | jpeg | folder name | __ | __ | Satellite image | GeoEye1 etc | 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 | Image Classification | 256 * 256 | 3 | 533 | 5 | jpg | folder name | 2.38866m | __ | Satellite image | GoogleEarth | 2018 | __ | https://blog.csdn.net/u012193416/article/details/79472533 | https://aistudio.baidu.com/aistudio/datasetdetail/88597 |
| 1-12 | EuroSAT | Image Classification | 64 * 64 | 3, 13 | 27000 | 10 | jpg, tif | folder name | 10m | __ | Satellite image | Sentinel2 | 2018 | University of Kaiserslautern, Germany | https://github.com/phelber/eurosat | https://aistudio.baidu.com/aistudio/datasetdetail/52650 |
| 1-13 | HistAerial Dataset | Image Classification | 25 * 25, 50 * 50 , 100 * 100 | 1 | 42000 | 7 | png | folder name | __ | __ | Aerial image | Aerial image | 2019 | Univ Lyon | http://eidolon.univ-lyon2.fr/~remi1/HistAerialDataset/ | https://aistudio.baidu.com/aistudio/datasetdetail/135146 |
| 1-14 | OPTIMAL 31 | Image Classification | 256 * 256 | 3 | 1860 | 31 | jpg | folder name | __ | __ | Satellite image | GoogleEarth | 2019 | Northwestern Polytechnical University | http://crabwq.github.io/ | https://aistudio.baidu.com/aistudio/datasetdetail/51798 |
| 1-15 | WiDSDatathon2019 | Image Classification | 256 * 256 | 3 | 11000 | 2 | jpg | csv | 3m | __ | Satellite image | Planet | 2019 | Stanford | https://www.kaggle.com/c/widsdatathon2019/data | https://aistudio.baidu.com/aistudio/datasetdetail/76927 |
| 1-16 | CLRS | Image Classification | 256 * 256 | 3 | 15000 | 25 | tif | folder name | 0.26~ 8.85m | __ | Satellite image | GoogleEarth, BingMap, GoogleMap, Tianditu | 2020 | Central South University | https://github.com/lehaifeng/CLRS | https://aistudio.baidu.com/aistudio/datasetdetail/76417 |
| 1-17 | SenseEarth Classify | Image Classification | 100 * 100~12655 * 12655 | 3 | 70000 | 51 | jpg | txt | 0.2~ 153m | __ | Satellite image | GoogleEarth | 2020 | Sensetime | https://rs.sensetime.com/competition/index.html#/info | https://aistudio.baidu.com/aistudio/datasetdetail/52728 |
| 1-18 | TG1HRSSC | Image Classification | 512 * 512 | 1, 54, 52 | 204 | 9 | tif | folder name | 5m, 10m, 20m, | 0.4~ 2.5μm | Satellite image | Tiangong-1 | 2021 | Engineering and Technology Center for Space Applications, Chinese Academy of Sciences | http://www.msadc.cn/main/setsubDetail?id=1369487569196158978 | https://aistudio.baidu.com/aistudio/datasetdetail/86229 |
| 1-19 | NaSC TG2 | Image Classification | 128 * 128 | 3, 14 | 20000 | 10 | jpg, tif | folder name | __ | 0.40~ 1.04µm | Satellite image | Tiangong-2 | 2021 | Engineering and Technology Center for Space Applications, Chinese Academy of Sciences | http://www.msadc.cn/main/setsubDetail?id=1370312964720037889 | https://aistudio.baidu.com/aistudio/datasetdetail/86451 |
| 1-20 | S2UC Dataset | Image Classification | 224 * 224 | 3 | 1714 | 2 | npy | npy | __ | __ | Satellite image | GoogleEarth | 2021 | __ | https://www.scidb.cn/en/detail?dataSetId=14e27d8c51ec40079b84591e9bb24df6 | https://aistudio.baidu.com/aistudio/datasetdetail/139361 |
| 1-21 | SAT 4 | Image Classification | 28 * 28 | 4 | 500000 | 4 | mat | mat | 1~ 6m | __ | Satellite image | NAIPdataset | 2015 | Louisiana State University | http://csc.lsu.edu/~saikat/deepsat/ | https://aistudio.baidu.com/aistudio/datasetdetail/52534 |
| 1-22 | SAT 6 | Image Classification | 28 * 28 | 4 | 405000 | 6 | mat | mat | 1~ 6m | __ | Satellite image | NAIPdataset | 2015 | Louisiana State University | http://csc.lsu.edu/~saikat/deepsat/ | https://aistudio.baidu.com/aistudio/datasetdetail/52534 |
| 1-23 | SIRI WHU google | Image Classification | 200 * 200 | 3 | 3400 | 12 | tif, dat | folder name | 2m | __ | Satellite image | GoogleEarth | 2016 | Wuhan University | http://www.lmars.whu.edu.cn/prof_web/zhongyanfei/e-code.html | https://aistudio.baidu.com/aistudio/datasetdetail/51921 |
| 1-24 | SIRI WHU USGS | Image Classification | 10000 * 9000 | 3 | 1 | 4 | tif | folder name | 2foot | __ | Satellite image | USGS | 2016 | Wuhan University | http://www.lmars.whu.edu.cn/prof_web/zhongyanfei/e-code.html | https://aistudio.baidu.com/aistudio/datasetdetail/51921 |
| 1-25 | RSI CB128 | Image Classification | 256 * 256 | 3 | 36000 | 45 | tif | folder name | 0.3~ 3m | __ | Satellite image | GoogleEarth, BingMap | 2017 | Central South University | https://github.com/lehaifeng/RSI-CB | https://aistudio.baidu.com/aistudio/datasetdetail/52487 |
| 1-26 | RSI CB256 | Image Classification | 256 * 256 | 3 | 24000 | 35 | tif | folder name | 0.3~ 3m | __ | Satellite image | GoogleEarth, BingMap | 2017 | Central South University | https://github.com/lehaifeng/RSI-CB | https://aistudio.baidu.com/aistudio/datasetdetail/52487 |
| 1-27 | Multi View Datasets CV BrCT | Image Classification | 500 * 475 | 3 | 48342 | 8 | png, tif | folder name | __ | __ | Aerial image, Satellite image | Aerial image, Satellite image | 2020 | Federal University of Minas Gerais | http://www.patreo.dcc.ufmg.br/2020/07/22/multi-view-datasets/ | https://aistudio.baidu.com/aistudio/datasetdetail/58013 |
| 1-28 | Multi View Datasets AiRound | Image Classification | 500 * 475 | 3 | 13980 | 11 | tif | folder name | __ | __ | Satellite image | Sentinel2 etc | 2020 | Federal University of Minas Gerais | http://www.patreo.dcc.ufmg.br/2020/07/22/multi-view-datasets/ | https://aistudio.baidu.com/aistudio/datasetdetail/58760 |
| 1-29 | braziliancoffeescenes | Image Classification | 64 * 64 | 3 | 2876 | __ | __ | __ | __ | __ | Satellite image | SPOTsensor | 2015 | Federal University of Minas | http://patreo.dcc.ufmg.br/2017/11/12/brazilian-coffee-scenes-dataset | |
| 1-30 | Planet: Understanding the Amazon from Space | Image Classification | 256 * 256 | 3, 4 | 40480 | __ | __ | __ | 3m | __ | Satellite image | plantsensor | 2017 | Planet | https://www.kaggle.com/c/planet-understanding-the-amazon-from-space/data | |
| 1-31 | rscupcls | Image Classification | 512 * 512 | 3 | 197121 | 45 | jpg | folder name | __ | __ | __ | __ | 2019 | __ | http://rscup.bjxintong.com.cn/#/theme/1 | |
| 1-32 | MSTAR | Image Classification | 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 |
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| 2-1 | TAS | Object Detection | 792 * 636 | 3 | 30 | 1 | .m | HBB | __ | __ | Satellite image | GoogleEarth | 2008 | Stanford University | http://ai.stanford.edu/~gaheitz/Research/TAS/ | https://aistudio.baidu.com/aistudio/datasetdetail/53806 |
| 2-2 | OIRDS | Object Detection | 256 * 256~640 * 640 | 3 | 900 | 5 | tif | OBB | 0.15m | __ | Satellite image | USGS, DARPA, VIVID | 2009 | Raytheon Company | https://sourceforge.net/projects/oirds/ | https://aistudio.baidu.com/aistudio/datasetdetail/53461 |
| 2-3 | SZTAKI INRIA Building Detection Benchmark | Object Detection | 700± * 700± | 3 | 9 | 1 | jpg | OBB | __ | __ | Aerial image, Satellite image | Aerial image, Satellite image | 2012 | MTASZTAKI | http://web.eee.sztaki.hu/remotesensing/building_benchmark.html | https://aistudio.baidu.com/aistudio/datasetdetail/77674 |
| 2-4 | UCAS_AOD | Object Detection | 1000± * 1000± | 3 | 976 | 2 | png | OBB | __ | __ | Aerial image | GoogleEarth | 2014 | Chinese Academy of Sciences | https://onedrive.hyper.ai/home/UCAS-AOD | https://aistudio.baidu.com/aistudio/datasetdetail/53318 |
| 2-5 | NWPUVHR 10 | Object Detection | 500 * 500~1100 * 1100 | 3 | 1510 | 10 | jpg | HBB | 0.08~ 2m | __ | Satellite image | GoogleEarth, Vaihingen | 2014 | Northwestern Polytechnical University | https://gcheng-nwpu.github.io/#Datasets | https://aistudio.baidu.com/aistudio/datasetdetail/52812 |
| 2-6 | VEDAI | Object Detection | 512 * 512~1024 * 1024 | 4 | 1210 | 9 | png | OBB | 0.125m | __ | Satellite image | UtahAGRC | 2015 | University of Caen | https://downloads.greyc.fr/vedai/ | https://aistudio.baidu.com/aistudio/datasetdetail/53383 |
| 2-7 | HRSC2016 | Object Detection | 1100± * 1100± | 3 | 1061 | 27 | png | OBB | __ | __ | Satellite image | GoogleEarth | 2016 | Northwestern Polytechnical University | https://sites.google.com/site/hrsc2016/ | https://aistudio.baidu.com/aistudio/datasetdetail/54106 |
| 2-8 | DLR3k | Object Detection | 5616 * 3744 | 3 | 14235 | 7 | jpg | OBB | 0.13m | __ | Aerial image | Aerial image (CanonEos1DsMarkIII) | 2016 | German Aerospace Center | https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-52777 | https://aistudio.baidu.com/aistudio/datasetdetail/54185 |
| 2-9 | RSOD | Object Detection | 1000± * 1000± | 3 | 976 | 4 | jpg | HBB | 0.3~ 3m | __ | Satellite image | GoogleEarth, Tianditu | 2017 | Wuhan University | https://github.com/RSIA-LIESMARS-WHU/RSOD-Dataset- | https://aistudio.baidu.com/aistudio/datasetdetail/52980 |
| 2-10 | TGRS HRRSD | Object Detection | 152 * 152~10569 * 10569 | 3 | 21761 | 13 | jpg | HBB | 0.15~ 1.2m | __ | Satellite image | GoogleEarth, BaiduMap | 2017 | Chinese Academy of Sciences | https://github.com/CrazyStoneonRoad/TGRS-HRRSD-Dataset | https://aistudio.baidu.com/aistudio/datasetdetail/53186 |
| 2-11 | ships in satellite imagery | Object Detection | 80 * 80 | 3 | 4000 | 1 | png | HBB | 3m | __ | Satellite image | Planet | 2017 | PlanetTeam | https://www.kaggle.com/rhammell/ships-in-satellite-imagery | https://aistudio.baidu.com/aistudio/datasetdetail/77233 |
| 2-12 | xView | Object Detection | 3000± * 3000± | 3 | 1129 | 60 | tif | HBB | 0.3m | __ | Satellite image | WorldView3 | 2018 | DIUx | https://challenge.xviewdataset.org/data-download | https://aistudio.baidu.com/aistudio/datasetdetail/53622 |
| 2-13 | LEVIR | Object Detection | 800 * 600 | 3 | 22000 | 3 | jpg | HBB | 0.2~ 1.0m | __ | Satellite image | GoogleEarth | 2018 | Beijing University of Aeronautics and Astronautics | http://levir.buaa.edu.cn/Code.htm | https://aistudio.baidu.com/aistudio/datasetdetail/53714 |
| 2-14 | MASATI | Object Detection | 512± * 512± | 3 | 7389 | 7 | png | HBB | 0.08~ 2m | __ | Satellite image | BingMaps | 2018 | University of Alicante | https://www.iuii.ua.es/datasets/masati/ | https://aistudio.baidu.com/aistudio/datasetdetail/53895 |
| 2-15 | ITCVD | Object Detection | 5616 * 3744 | 3 | 135 | 1 | jpg | HBB | 0.1m | __ | Aerial image | Aerial image | 2018 | University of Twente Research Information | https://research.utwente.nl/en/datasets/itcvd-dataset | https://aistudio.baidu.com/aistudio/datasetdetail/54674 |
| 2-16 | DIOR | Object Detection | 800 * 800 | 3 | 23463 | 20 | jpg | HBB, OBB | 0.5~ 30m | __ | Satellite image | GoogleEarth | 2019 | Northwestern Polytechnical University | http://www.escience.cn/people/JunweiHan/DIOR.html | https://aistudio.baidu.com/aistudio/datasetdetail/53045 |
| 2-17 | iSAID | Object Detection | 800 * 800~13000 * 13000 | 3 | 2806 | 15 | png | OBB | __ | __ | Satellite image | GoogleEarth, JL1, GF2 | 2019 | Wuhan University | https://captain-whu.github.io/iSAID/index.html | https://aistudio.baidu.com/aistudio/datasetdetail/73458 |
| 2-18 | Bridge Dataset | Object Detection | 4800 * 2843 | 3 | 500 | 1 | jpg | HBB | 0.5m | __ | Satellite image | 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 | Object Detection | 512 * 512 | 3 | 1507 | 10 | png | HBB | 0.3~ 1.5m | __ | Satellite image | WorldView3 | 2020 | In-Q-Tel | https://www.cosmiqworks.org/RarePlanes/ | https://aistudio.baidu.com/aistudio/datasetdetail/70215 |
| 2-20 | Aircraft Target Recognition - Training Data Set | Object Detection | 4096 * 4096 | 3 | 430 | 11 | png | OBB | 0.5~ 1m | __ | Satellite image | Domestic independent property rights series satellites | 2021 | Chinese Academy of Sciences | https://www.rsaicp.com/portal/dataDetail?id=34 | https://aistudio.baidu.com/aistudio/datasetdetail/131179 |
| 2-21 | Ship Intelligence Detection - Training Data set | Object Detection | 20000 * 20000 | 3 | 25 | __ | png | OBB | 5m | __ | Satellite image | Domestic independent property rights series satellites | 2021 | Chinese Academy of Sciences | https://www.rsaicp.com/portal/dataDetail?id=35 | https://aistudio.baidu.com/aistudio/datasetdetail/134218 |
| 2-22 | FAIR1M | Object Detection | 1000 * 100~100000 * 10000 | 3 | 15000 | 37 | tif | OBB | 0.3~ 0.8m | __ | Satellite image | GF, GoogleEarth | 2021 | Chinese Academy of Sciences | http://gaofen-challenge.com | https://aistudio.baidu.com/aistudio/datasetdetail/78453 |
| 2-23 | VISO-Detection | Object Detection | 1000 * 1000 | 3 | 32825 | 4 | jpg | HBB | 0.5~ 1.1m | __ | Satellite image | JL1 | 2021 | National University of Defense Technology | https://satvideodt.github.io/ | https://aistudio.baidu.com/aistudio/datasetdetail/137865 |
| 2-24 | VisDrone2019 DET | Object Detection | 1000± * 1000± | 3 | 10209 | 10 | jpg | HBB | __ | __ | Aerial image | Aerial image | 2018 | Tianjin University | https://github.com/VisDrone/VisDrone-Dataset | https://aistudio.baidu.com/aistudio/datasetdetail/54054 |
| 2-25 | VisDrone2019-VID | Object Detection | 1000± * 1000± | 3 | 40000+ | 10 | jpg | HBB | __ | __ | Aerial image | Aerial image | 2018 | Tianjin University | https://github.com/VisDrone/VisDrone-Dataset | https://aistudio.baidu.com/aistudio/datasetdetail/137265 |
| 2-26 | DroneCrowd | Object Detection | 640*512 | 3 | 1807 | 1 | jpg | __ | __ | __ | Aerial image | Aerial image | 2020 | Tianjin University | https://github.com/VisDrone/VisDrone-Dataset | https://aistudio.baidu.com/aistudio/datasetdetail/137691 |
| 2-27 | DOTA1.0 | Object Detection | 800 * 800~4000 * 4000 | 3 | 2806 | 15 | png | OBB | __ | __ | Satellite image | GoogleEarth, GF2, JL0 | 2018 | Wuhan University | https://captain-whu.github.io/DOTA/index.html | https://aistudio.baidu.com/aistudio/datasetdetail/53125 |
| 2-28 | DOTA1.5 | Object Detection | 800 * 800~4000 * 4000 | 3 | 2806 | 16 | png | OBB | __ | __ | Satellite image | GoogleEarth, GF2, JL1 | 2019 | Wuhan University | https://captain-whu.github.io/DOTA/index.html | https://aistudio.baidu.com/aistudio/datasetdetail/53125 |
| 2-29 | DOTA2.0 | Object Detection | 800 * 800~20000 * 20000 | 3 | 11268 | 18 | png | OBB | __ | __ | Satellite image, Aerial image | GoogleEarth, GF2, Aerial image | 2021 | Wuhan University | https://captain-whu.github.io/DOTA/index.html | https://aistudio.baidu.com/aistudio/datasetdetail/53125 |
| 2-30 | COWC | Object Detection | 2000 * 2000~19000 * 19000 | __ | 53 | __ | __ | onedot | 0.15m | __ | Satellite image | Utah | 2016 | Lawrence Livermore National Laboratory | https://gdo152.llnl.gov/cowc/ | |
| 2-31 | Functional Map of theWorld Challenge | Object Detection | __ | 4, 8 | 31 | __ | __ | onedot | __ | __ | Satellite image | Utah | 2016 | Johns Hopkins University Applied Physics Laboratory | https://github.com/fMoW/dataset | |
| 2-32 | CARPK | Object Detection | __ | __ | 1573 | __ | png | __ | __ | __ | Aerial image | Aerial image | 2017 | Taiwan State University | https://lafi.github.io/LPN/ | |
| 2-33 | MAFAT Challenge | Object Detection | __ | __ | 4216 | __ | __ | HBB | 0.05~ 0.15m | __ | Aerial image | Aerial image | 2018 | yuvalsh | https://competitions.codalab.org/competitions/19854 | |
| 2-34 | rscupdet | Object Detection | 1024 * 1024 | 3 | 2423 | __ | png | OBB | __ | __ | Satellite image | __ | 2019 | __ | http://rscup.bjxintong.com.cn/#/theme/2 | |
| 2-35 | SSDD | Object Detection | 500 * 500 | 1 | 1160 | 1 | jpg | HBB, OBB | 1~ 15m | __ | SAR | RadarSat2, TerraSARX, Sentinel1 | 2017 | Naval Aeronautical University | https://zhuanlan.zhihu.com/p/58404659 | https://aistudio.baidu.com/aistudio/datasetdetail/54806 |
| 2-36 | OpenSARShip | Object Detection | 1200 * 900 | 1 | 41 | 1 | tif | Chip | __ | __ | SAR | Sentinel1 | 2017 | Shanghai Jiao Tong University | http://opensar.sjtu.edu.cn/ | https://aistudio.baidu.com/aistudio/datasetdetail/77017 |
| 2-37 | HRSID | Object Detection | 800 * 800 | 1 | 5604 | 1 | png | HBB | 0.5~ 3m | __ | SAR | Sentinel1B, TerraSARX, TEMX | 2020 | University of Electronic Science and Technology | https://github.com/chaozhong2010/HRSID | https://aistudio.baidu.com/aistudio/datasetdetail/54512 |
| 2-38 | AIR SARShip1.0 | Object Detection | 3000 * 3000 | 1 | 31 | 1 | tiff | HBB | 1~ 3m | __ | SAR | GF3 | 2019 | Journal of Radar Science | https://radars.ac.cn/web/data/getData?newsColumnId=abd5c1b2-fe65-47f7-8ebf-990273a91a48 | https://aistudio.baidu.com/aistudio/datasetdetail/54270 |
| 2-39 | AIR SARShip2.0 | Object Detection | 1000 * 1000 | 1 | 300 | 1 | tiff | HBB | 1~ 3m | __ | SAR | GF3 | 2020 | Journal of Radar Science | https://radars.ac.cn/web/data/getData?newsColumnId=1e6ecbcc-266d-432c-9c8a-0b9a922b5e85 | https://aistudio.baidu.com/aistudio/datasetdetail/54270 |
| 2-40 | gf2021 Segmentation data set of offshore aquaculture in high resolution SAR images | Object Detection | 600 * 600, 1024 * 1024, 2048 * 2048, | 1 | 300+ | 6 | tif | HBB | 1m | __ | SAR | GF3 | 2021 | Chinese Academy of Sciences | http://sw.chreos.org/challenge/dataset/4 | |
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| 3-1 | SPARCS | Image Segmentation | 1000 * 1000 | 10 | 80 | 7 | tif | png | 30m | __ | Satellite image | 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 | Image Segmentation | 1000± * 1000± | 4 | 20 | 8 | tif | tif | 0.62m | __ | Satellite image | 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 | Image Segmentation | 4000± * 4000± | 3 | 41 | 1 | png, jpg | tif | __ | __ | Aerial image | Aerial image | 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 | Image Segmentation | 4000± * 4000± | 3 | 20 | 5 | png | png | __ | __ | Aerial image | Aerial image | 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 | Image Segmentation | 8000± * 8000± | 3 | 5 | 5 | png | png | __ | __ | Satellite image | __ | 2017 | BDCI | https://www.datafountain.cn/competitions/270 | https://aistudio.baidu.com/aistudio/datasetdetail/55424 |
| 3-6 | Learning Aerial Image Segmentation From Online Maps | Image Segmentation | 3000± * 3000± | 3 | 1671 | 2 | png | png | __ | __ | Satellite image, Aerial image | GoogleMaps, OpenStreetMap | 2017 | THZürich | https://zenodo.org/record/1154821 | https://aistudio.baidu.com/aistudio/datasetdetail/56140 |
| 3-7 | Inria Aerial Image Labeling Dataset | Image Segmentation | 5000 * 5000 | 3 | 180 | 1 | tif | tif | 0.3m | __ | Aerial image | Aerial image | 2017 | Inria Sophia Antipolis-Mediterranee | https://project.inria.fr/aerialimagelabeling/ | |
| 3-8 | WHDLD | Image Segmentation | 256 * 256 | 3 | 4940 | 6 | png | png | __ | __ | Satellite image | UCMerced | 2018 | Wuhan University | https://sites.google.com/view/zhouwx/dataset#h.p_hQS2jYeaFpV0 | https://aistudio.baidu.com/aistudio/datasetdetail/55589 |
| 3-9 | DLRSD | Image Segmentation | 256 * 256 | 3 | 2100 | 17 | tif | png | 1foot | __ | Satellite image | USGS National Map | 2018 | Wuhan University | https://sites.google.com/view/zhouwx/dataset#h.p_hQS2jYeaFpV0 | https://aistudio.baidu.com/aistudio/datasetdetail/55005 |
| 3-10 | Multi-Sensor Land-Cover Classification | Image Segmentation | 5957 * 8149, 6031 * 5596 | 4, 1 | 2 | 4 | tif | tif | __ | __ | Satellite image | Sentinel1B, Sentinel2A | 2018 | Wuhan University | https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-51180 | https://aistudio.baidu.com/aistudio/datasetdetail/136777 |
| 3-11 | Aeroscapes | Image Segmentation | 720 * 720 | 3 | 3269 | 11 | jpg | png | __ | __ | Aerial image | Aerial image | 2018 | Carnegie Mellon University | https://github.com/ishann/aeroscapes | https://aistudio.baidu.com/aistudio/datasetdetail/55222 |
| 3-12 | AIRS | Image Segmentation | 10000 * 10000 | 3 | 190 | 1 | tif | tif | 0.075m | __ | Aerial image | LINZ Data Service | 2018 | University of Tokyo | https://www.airs-dataset.com/ | https://aistudio.baidu.com/aistudio/datasetdetail/74274 |
| 3-13 | RIT 18 | Image Segmentation | 9393 * 5642, 8833 * 6918, 12446 * 7654 | 7 | 3 | 18 | mat | npy | 0.047m | __ | Satellite image | Tetracam MicroMCA6 | 2018 | Rochester Institute of Technology | https://github.com/rmkemker/RIT-18 | https://aistudio.baidu.com/aistudio/datasetdetail/98991 |
| 3-14 | Drone Deploy | Image Segmentation | 6000± * 6000± | 3 | 55 | 7 | tif | png | 0.1m | __ | Aerial image | drones | 2019 | Drone Deploy | https://github.com/dronedeploy/dd-ml-segmentation-benchmark | https://aistudio.baidu.com/aistudio/datasetdetail/79283 |
| 3-15 | Road Tracer | Image Segmentation | 4096 * 4096 | 3 | 3000 | 1 | png | png | 0.6m | __ | Satellite image | Googleearth, OSM | 2019 | MIT | https://github.com/mitroadmaps/roadtracer/ | https://aistudio.baidu.com/aistudio/datasetdetail/74848 |
| 3-16 | Bijie Landslide Dataset | Image Segmentation | 200± * 200± | 3 | 771 | 1 | png | png | 0.68m | __ | Satellite image | TripleSat | 2019 | Wuhan University | http://gpcv.whu.edu.cn/data/Bijie_pages.html | https://aistudio.baidu.com/aistudio/datasetdetail/121515 |
| 3-17 | GF2 Dataset for 3DFGC | Image Segmentation | 1417 * 2652 , 1163 * 2120 | 4 | 11 | 5 | tif | tif | 4m | __ | Satellite image | GF2 | 2019 | Wuhan University | http://gpcv.whu.edu.cn/data/3DFGC_pages.html | https://aistudio.baidu.com/aistudio/datasetdetail/135648 |
| 3-18 | Semantic Drone Dataset | Image Segmentation | 6000 * 4000 | 3 | 400 | 22 | png | png | __ | __ | Aerial image | Aerial image | 2019 | Graz University of Technology | http://dronedataset.icg.tugraz.at | https://aistudio.baidu.com/aistudio/datasetdetail/134732 |
| 3-19 | WHU Cloud Dataset | Image Segmentation | 512 * 512 | 3 | 730 | 1 | tif | tif | __ | __ | Satellite image | Landsat 8 | 2020 | Wuhan University | http://gpcv.whu.edu.cn/data/WHU_Cloud_Dataset.html | https://aistudio.baidu.com/aistudio/datasetdetail/136174 |
| 3-20 | Land Cover from Aerial Imagery (landcover_ai) | Image Segmentation | 9000 * 9500, 4200 * 4700 | 3 | 41 | 3 | tif | tif | 0.25~ 0.5m | __ | Aerial image | Aerial image | 2020 | linuxpols | https://landcover.ai/ | https://aistudio.baidu.com/aistudio/datasetdetail/76629 |
| 3-21 | UAVid | Image Segmentation | 4096 * 2160, 3840 * 2160 | 3 | 300 | 8 | png | png | __ | __ | Aerial image | Aerial image | 2020 | University of Twente | https://www.uavid.nl/ | https://aistudio.baidu.com/aistudio/datasetdetail/55774 |
| 3-22 | AI + Remote sensing image | Image Segmentation | 256 * 256 | 3 | 100000 | 8, 17 | tif | tif, png | 0.1~ 4m | __ | Satellite image | GF1, GF2, GF6, GJ2, BJ2, Aerial image | 2020 | Organizing Committee of National Artificial Intelligence Competition | https://www.datafountain.cn/competitions/457 | https://aistudio.baidu.com/aistudio/datasetdetail/51568 |
| 3-23 | BDCI2020 | Image Segmentation | 256 * 256 | 3 | 145981 | 7 | jpg | png | __ | __ | Satellite image | __ | 2020 | BDCI | https://www.datafountain.cn/competitions/475 | https://aistudio.baidu.com/aistudio/datasetdetail/56051 |
| 3-24 | mini Inria Aerial Image Labeling Dataset | Image Segmentation | 512 * 512 | 3 | 32500 | 1 | jpg | csv | 0.3m | __ | Aerial image | Aerial image | 2021 | Tianchi Competition | https://tianchi.aliyun.com/competition/entrance/531872/introduction | https://aistudio.baidu.com/aistudio/datasetdetail/70361 |
| 3-25 | LoveDA | Image Segmentation | 1024 * 1024 | 3 | 5987 | 7 | png | png | 0.3m | __ | Satellite image | GoogleEarth | 2021 | Wuhan University | https://github.com/Junjue-Wang/LoveDA | https://aistudio.baidu.com/aistudio/datasetdetail/121200 |
| 3-26 | MiniFrance-DFC22 | Image Segmentation | 2000±* 2000± | 3 | 2322 | 15 | tif | tif | __ | __ | Aerial image | Aerial image | 2022 | IADF TC | https://www.grss-ieee.org/community/technical-committees/2022-ieee-grss-data-fusion-contest/ | https://aistudio.baidu.com/aistudio/datasetdetail/129225 |
| 3-27 | Remote sensing building extraction data set_M | Image Segmentation | 512 * 512 | 3 | 447686 | 1 | __ | __ | __ | __ | __ | __ | 2022 | Chongqing Jiaotong University | https://aistudio.baidu.com/aistudio/datasetdetail/102929 | https://aistudio.baidu.com/aistudio/datasetdetail/102929 |
| 3-28 | Massachusetts Roads | Image Segmentation | 1500 * 1500 | 3 | 804 | 1 | png | png | 1m | __ | Aerial image | Aerial image | 2013 | University of Toronto | https://www.cs.toronto.edu/~vmnih/data/ | https://aistudio.baidu.com/aistudio/datasetdetail/56961 |
| 3-29 | Massachusetts Builds | Image Segmentation | 1500 * 1500 | 3 | 151 | 1 | png | png | 1m | __ | Aerial image | Aerial image | 2013 | University of Toronto | https://www.cs.toronto.edu/~vmnih/data/ | https://aistudio.baidu.com/aistudio/datasetdetail/57019 |
| 3-30 | Deep Globe Land Cover Classification Challenge | Image Segmentation | 2448 * 2448 | 3 | 803 | 7 | jpg | png | 0.5m | __ | Satellite image | DigitalGlobe | 2018 | CVPR | http://deepglobe.org/challenge.html | https://aistudio.baidu.com/aistudio/datasetdetail/55681 |
| 3-31 | Deep Globe Road Detection Challenge | Image Segmentation | 1024 * 1024 | 3, 14 | 6226 | 1 | jpg | png | 0.5m | __ | Satellite image | DigitalGlobe | 2018 | CVPR | http://deepglobe.org/challenge.html | https://aistudio.baidu.com/aistudio/datasetdetail/55682 |
| 3-32 | WHU Building Dataset, Satellite datasetⅠ (globalcities) | Image Segmentation | 512 * 512 | 3 | 204 | 1 | tif | tif | 0.3~ 2.5m | __ | Satellite image | QuickBird, Worldviewseries, IKONOS, ZY3 | 2019 | Wuhan University | https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html | https://aistudio.baidu.com/aistudio/datasetdetail/56341 |
| 3-33 | WHU Building Dataset, Satellite datasetⅡ (EastAsia) | Image Segmentation | 512 * 512 | 3 | 17388 | 1 | tif | tif | 0.45m | __ | Satellite image | __ | 2019 | Wuhan University | https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html | https://aistudio.baidu.com/aistudio/datasetdetail/56356 |
| 3-34 | WHU Building Dataset, Aerial imagery dataset | Image Segmentation | 512 * 512 | 3 | 8189 | 1 | tif | tif | 0.3m | __ | Satellite image | __ | 2019 | Wuhan University | https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html | https://aistudio.baidu.com/aistudio/datasetdetail/56502 |
| 3-35 | ORSSD | Image Segmentation | 500± * 500± | 3 | 800 | 8 | jpg | png | __ | __ | Satellite image | GoogleEarth | 2019 | Beijing Jiaotong University | https://github.com/rmcong/ORSSD-dataset | https://aistudio.baidu.com/aistudio/datasetdetail/98275 |
| 3-36 | EORSSD | Image Segmentation | 500± * 500± | 3 | 2000 | 8 | jpg | png | __ | __ | Satellite image | GoogleEarth | 2020 | Beijing Jiaotong University | https://hub.fastgit.org/rmcong/EORSSD-dataset]https://hub.fastgit.org/rmcong/EORSSD-dataset | https://aistudio.baidu.com/aistudio/datasetdetail/98372 |
| 3-37 | 38 Cloud: A Cloud Segmentation Dataset | Image Segmentation | 384 * 384 | 4 | 8400 | 1 | tif | tif | 30m | __ | Satellite image | Landsat8 | 2018 | Science Simon Fraser University | https://github.com/SorourMo/38-Cloud-A-Cloud-Segmentation-Dataset | https://aistudio.baidu.com/aistudio/datasetdetail/56236 |
| 3-38 | 95 Cloud: An Extension to 38 Cloud Dataset | Image Segmentation | 384 * 384 | 4 | 34701 | 1 | tif | tif | 30m | __ | Satellite image | Landsat8 | 2020 | Simon Fraser University | https://github.com/SorourMo/95-Cloud-An-Extension-to-38-Cloud-Dataset | https://aistudio.baidu.com/aistudio/datasetdetail/56839 |
| 3-39 | Postdam | Image Segmentation | 6000 * 6000 | 3 | 38 | 6 | tif | tif | 0.05m | __ | Aerial image | Aerial image | 2012 | ISPRS | https://www2.isprs.org/commissions/comm2/wg4/benchmark/semantic-labeling/ | https://aistudio.baidu.com/aistudio/datasetdetail/55153 |
| 3-40 | Vaihingen | Image Segmentation | 2000± * 2000± | 3 | 33 | 6 | tif | tif | 0.09m | __ | Aerial image | Aerial image | 2012 | ISPRS | https://www2.isprs.org/commissions/comm2/wg4/benchmark/semantic-labeling/ | https://aistudio.baidu.com/aistudio/datasetdetail/55408 |
| 3-41 | GID Fine Land cover Classification 15 classes | Image Segmentation | 7200 * 6800 | 3, 4 | 10 | 5 | tif | tif | 0.8~ 10m | __ | Satellite image | GF2 | 2018 | Wuhan University | https://x-ytong.github.io/project/GID.html | https://aistudio.baidu.com/aistudio/datasetdetail/54878 |
| 3-42 | GID Large scale Classification 5 classes | Image Segmentation | 7200 * 6800 | 3, 4 | 150 | 15 | tif | tif | 0.8~ 10m | __ | Satellite image | GF2, GF1, JL1, ZY3, Sentinel2A, GoogleEarth | 2018 | Wuhan University | https://x-ytong.github.io/project/GID.html | https://aistudio.baidu.com/aistudio/datasetdetail/54934 |
| 3-43 | UDD5 | Image Segmentation | 4096± * 2160± | 3 | 160 | 5 | png | png | __ | __ | Aerial image | DJIPhantom4 | 2018 | Peking University | https://github.com/MarcWong/UDD | https://aistudio.baidu.com/aistudio/datasetdetail/75675 |
| 3-44 | UDD6 | Image Segmentation | 4096± * 2160± | 3 | 141 | 6 | png | png | __ | __ | Aerial image | DJIPhantom4 | 2018 | Peking University | https://github.com/MarcWong/UDD | https://aistudio.baidu.com/aistudio/datasetdetail/75675 |
| 3-45 | BH POOLS | Image Segmentation | 3840 * 2160 | 3 | 200 | 1 | jpg | png | __ | __ | Satellite image | GoogleEarth | 2020 | Federal University of Minas Gerais | http://www.patreo.dcc.ufmg.br/2020/07/29/bh-pools-watertanks-datasets/ | https://aistudio.baidu.com/aistudio/datasetdetail/57579 |
| 3-46 | BH WATERTANKS | Image Segmentation | 3840 * 2160 | 3 | 200 | 1 | jpg | png | __ | __ | Satellite image | GoogleEarth | 2020 | Federal University of Minas Gerais | http://www.patreo.dcc.ufmg.br/2020/07/29/bh-pools-watertanks-datasets/ | https://aistudio.baidu.com/aistudio/datasetdetail/57579 |
| 3-47 | BDCI2017 | Image Segmentation | 8000± * 8000± | 3 | 5 | 5 | png | png | __ | __ | __ | __ | 2017 | __ | https://www.datafountain.cn/competitions/270 | |
| 3-48 | Deep Globe Building Extraction Challenge | Image Segmentation | 650 * 650 | 8 | 254586 | 1 | tif | tif | 1.24m | __ | Satellite image | WorldView3 | 2018 | CVPR | http://deepglobe.org/challenge.html | |
| 3-49 | DLR-SkyScapes | Image Segmentation | 5616 * 3744 | 3 | 16 | 31 | __ | __ | 0.13m | __ | Aerial image | Aerial image | 2019 | German Aerospace Center | https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-58694 | |
| 3-50 | Barley Remote Sensing Dataset | Image Segmentation | 47161 * 50141, 77470* 40650 | 3 | 2 | 4 | png | png | __ | __ | Aerial image | Aerial image | 2019 | __ | https://tianchi.aliyun.com/competition/entrance/231717/information | https://aistudio.baidu.com/aistudio/datasetdetail/135044 |
| 3-51 | rscupseg | Image Segmentation | 7200 * 6800 | 4 | 20 | 6 | tif | tif | 4m | __ | Satellite image | GF2 | 2019 | __ | http://rscup.bjxintong.com.cn/#/theme/3 | |
| 3-52 | 2020 Digital China Innovation Competition | Image Segmentation | 4000± * 4000± | 3 | 8 | 1 | tif | tif | 0.8m | __ | Satellite image | GF2 | 2020 | __ | https://tianchi.aliyun.com/competition/entrance/231767/introduction | |
| 3-53 | "Huawei Cloud Cup" 2020 AI Innovation Application Competition | Image Segmentation | 10391 * 33106, 34612 * 29810 | 3 | 2 | 1 | png | png | 0.8m | __ | Satellite image | BJ2 | 2020 | __ | https://competition.huaweicloud.com/information/1000041322/circumstance?track=107 | |
| 3-54 | 2021 National Digital Ecological Innovation Competition | Image Segmentation | 256 * 256 | 4 | 16017 | __ | tif | tif | 0.8~ 2m | __ | Satellite image | GF | 2021 | Zhejiang University | https://tianchi.aliyun.com/competition/entrance/531860/rankingList | |
| 3-55 | LRSNY | Image Segmentation | 1000 * 1000 | 3 | 1368 | __ | __ | __ | 0.5m | __ | Satellite image | __ | 2021 | IEEE | https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9333652 | |
| 3-56 | gf2021 Sea ice target monitoring data set in visible light image facing Ocean 1 | Image Segmentation | 512 * 512 | 3 | 2500+ | 1 | png | png | 50m | __ | Satellite image | HY1 | 2021 | Chinese Academy of Sciences | http://sw.chreos.org/challenge/dataset/5 | |
| 3-57 | rsipacseg | Image Segmentation | 512 * 512 | 4 | 70000 | 9, 47 | tif | png | 0.8~ 2m | __ | __ | __ | 2021 | Wuhan University | http://rsipac.whu.edu.cn/subject_one | |
| 3-58 | 2021 National Artificial Intelligence Innovation Contest-Cultivated Land recognition with Remote sensing images | Image Segmentation | 256 * 256 | 3 | 50000 | 1 | png | png | 1m | __ | __ | __ | 2021 | __ | http://www.aiinnovation.com.cn/#/AIcaict/trackDetail | |
| 3-59 | Salinas scene | Image Segmentation | 512 * 217 | 224 | 1 | 16 | mat | mat | 3.7m | 10nm | hyperspectral | Airborne visual infrared imaging spectrometer/ AVIRIS | 2011 | __ | http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes | https://aistudio.baidu.com/aistudio/datasetdetail/82020 |
| 3-60 | Salinas Ascene | Image Segmentation | 83 * 86 | 224 | 1 | 6 | mat | mat | 3.7m | 10nm | hyperspectral | Airborne visual infrared imaging spectrometer/ AVIRIS | 2011 | __ | http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes | https://aistudio.baidu.com/aistudio/datasetdetail/82020 |
| 3-61 | Pavia Centre scene | Image Segmentation | 1096 * 1096 | 102 | 1 | 9 | mat | mat | 1.3m | 4.3nm | Aerial image | Airborne reflection optical spectral imager /ROSIS | 2011 | Paviauniversity | http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes | https://aistudio.baidu.com/aistudio/datasetdetail/81260 |
| 3-62 | Pavia University scene | Image Segmentation | 610 * 610 | 103 | 1 | 9 | mat | mat | 1.3m | 4.3nm | hyperspectral | Airborne reflection optical spectral imager/ ROSIS | 2011 | Paviauniversity | http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes | https://aistudio.baidu.com/aistudio/datasetdetail/81260 |
| 3-63 | Washington DCMALL | Image Segmentation | 1280 * 307 | 191 | 1 | 7 | tif | tif | __ | 10nm | hyperspectral | Airborne hyperspectral daa/ Hydice | 2013 | Spectral Information Technology | http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes | https://aistudio.baidu.com/aistudio/datasetdetail/83251 |
| 3-64 | Ikennedy Space Center | Image Segmentation | 512 * 614 | 176 | 1 | 13 | mat | mat | 0.18m | 10nm | hyperspectral | Airborne visual infrared imaging spectrometer/ AVIRIS | 2014 | Center for Space Research-The University of TexasatAustin | http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes | https://aistudio.baidu.com/aistudio/datasetdetail/81800 |
| 3-65 | Botswana | Image Segmentation | 1476 * 256 | 145 | 1 | 14 | mat | mat | 30m | __ | hyperspectral | EO1 | 2014 | __ | http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes | https://aistudio.baidu.com/aistudio/datasetdetail/82578 |
| 3-66 | Indian Pines | Image Segmentation | 145 * 145, 614 * 1848, 2678 * 614 | 224 | 3 | 16 | tif | tif | __ | 10nm | hyperspectral | Airborne visual infrared imaging spectrometer/ AVIRIS | 2015 | Purdue University | https://purr.purdue.edu/publications/1947/1 | https://aistudio.baidu.com/aistudio/datasetdetail/80970 |
| 3-67 | HyRANK | Image Segmentation | 250± * 1000± | 176 | 5 | 14 | tif | tif | 30m | __ | hyperspectral | EO1 | 2018 | National Technical University of Athen | https://www2.isprs.org/commissions/comm3/wg4/hyrank/ | https://aistudio.baidu.com/aistudio/datasetdetail/80840 |
| 3-68 | XiongAn hyperspectral dataset | Image Segmentation | 3750 * 1580 | 250 | 1 | 19 | img | img | 0.5m | 2.4nm | hyperspectral | Airborne hyperspectral data/ GF full spectrum multimode imaging spectrometer for aircraft systems | 2019 | Chinese Academy of Sciences | http://www.hrs-cas.com/a/share/shujuchanpin/2019/0501/1049.html | https://aistudio.baidu.com/aistudio/datasetdetail/100218 |
| 3-69 | AIR PolSAR Seg | Image Segmentation | 512 * 512 | 4 | 500 | 6 | tiff | png | 8m | __ | SAR | __ | 2021 | Journal of Radar Science | https://radars.ac.cn/web/data/getData?newsColumnId=1e6ecbcc-266d-432c-9c8a-0b9a922b5e85 | https://aistudio.baidu.com/aistudio/datasetdetail/126831 |
| 3-70 | gf2021 dataset for segmentation of nearshore aquaculture farms in high-resolution SAR images. | Image Segmentation | 512 * 512, 1024 * 1024, 2048 * 2048 | 1 | 6000+ | 1 | png | png | 1~ 3m | __ | SAR | HS1, GF3 | 2021 | Chinese Academy of Sciences | http://sw.chreos.org/challenge/dataset/3 | |
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| 4-1 | SZTAKI INRIA Air Change | Change Detection | 952 * 640 | 3 | 26 | 1 | bmp | bmp | 1.5m | __ | Satellite image | __ | 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) | Change Detection | 160 * 160 | 6 | 8506 | 1 | tif | csv | 0.4m | __ | Aerial image | Aerial image | 2017 | AIST | https://github.com/gistairc/ABCDdataset | https://aistudio.baidu.com/aistudio/datasetdetail/79596 |
| 4-3 | AIST Building Change Detection (resized) | Change Detection | 128 * 128 | 3 | 8446 | 1 | tif | csv | 0.5m | __ | Aerial image | Aerial image | 2017 | AIST | https://github.com/gistairc/ABCDdataset | https://aistudio.baidu.com/aistudio/datasetdetail/79596 |
| 4-4 | WHU Building Change Detection Dataset | Change Detection | 32207 * 15354 | 3 | 2 | 1 | tif | tif, shp | 0.2m | __ | Aerial image | Aerial image | 2018 | Wuhan University | https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html | https://aistudio.baidu.com/aistudio/datasetdetail/79035 |
| 4-5 | season varying | Change Detection | 256 * 256 | 3 | 1600 | 1 | jpg | jpg | 0.03~ 1m | __ | Satellite image | 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 | Change Detection | 600 * 600 | 13 | 48 | 1 | tif | tif, png | 10m | __ | Satellite image | Sentinel2 | 2018 | Universit´e Paris- Saclay | https://rcdaudt.github.io/oscd/ | https://aistudio.baidu.com/aistudio/datasetdetail/72898 |
| 4-7 | Multi temporal SceneWuHan | Change Detection | 7200 * 6000 | 4 | 380 | 9 | tif | jpg | 1m | __ | Satellite image | IKONOSsensor | 2019 | Wuhan University | http://sigma.whu.edu.cn/newspage.php?q=2019_03_26 | https://aistudio.baidu.com/aistudio/datasetdetail/70452 |
| 4-8 | DSIFN Dataset | Change Detection | 512 * 512 | 3 | 380 | 9 | tif | png | __ | __ | Satellite image | GoogleEarth | 2019 | Wuhan University | https://github.com/GeoZcx/A-deeply-supervised-image-fusion-network-for-change-detection-in-remote-sensing-images/tree/master/dataset | https://aistudio.baidu.com/aistudio/datasetdetail/139421 |
| 4-9 | High Resolution Semantic Change | Change Detection | 10000 * 10000 | 3 | 291 | 6 | png | png | __ | __ | Aerial image | IGS’s BDORTHO database | 2020 | ETHZürich | https://rcdaudt.github.io/hrscd/ | https://aistudio.baidu.com/aistudio/datasetdetail/86660 |
| 4-10 | xBD | Change Detection | 1024 * 1024 | 3, 4, 8 | 22068 | 4 | png | json | __ | __ | Satellite image | DigitalGlobe | 2020 | MIT | https://xview2.org/dataset | https://aistudio.baidu.com/aistudio/datasetdetail/73203 |
| 4-11 | Google dataset | Change Detection | 1000 * 1000~5000 * 5000 | 3 | 20 | 1 | tif | png | 0.55m | __ | Satellite image | GoogleEarth | 2020 | IEEE | https://github.com/daifeng2016/Change-Detection-Dataset-for-High-Resolution-Satellite-Imagery | https://aistudio.baidu.com/aistudio/datasetdetail/75099 |
| 4-12 | LEVIR CD | Change Detection | 1024 * 1024 | 3 | 1274 | 1 | png | png | 0.5m | __ | Satellite image | GoogleEarth | 2020 | Beijing University of Aeronautics and Astronautics | https://justchenhao.github.io/LEVIR/ | https://aistudio.baidu.com/aistudio/datasetdetail/75459 |
| 4-13 | SenseEarth Change Detection | Change Detection | 512 * 512 | 3 | 7630 | 6 | png | png | 0.5~ 3m | __ | Satellite image | __ | 2020 | Sensetime | https://rs.sensetime.com/competition/index.html#/info | https://aistudio.baidu.com/aistudio/datasetdetail/53484 |
| 4-14 | SEmantic Change detectiON Data | Change Detection | 512 * 512 | 3 | 9324 | 1 | png | png | __ | __ | Aerial image | Aerial image | 2020 | Wuhan University | http://www.captain-whu.com/project/SCD/ | https://aistudio.baidu.com/aistudio/datasetdetail/87088 |
| 4-15 | Sentinel 2 Multitemporal Cities Pairs | Change Detection | 600 * 600 | 14 | 3042 | __ | npy | self-supervised | 10m | __ | Satellite image | Sentinel2 | 2020 | Wageningen University | https://zenodo.org/record/4280482 | https://aistudio.baidu.com/aistudio/datasetdetail/104199 |
| 4-16 | SunYat SenUniversity CD | Change Detection | 256 * 256 | 3 | 40000 | 1 | png | png | 0.5m | __ | Aerial image | Aerial image | 2021 | Sun Yat-sen University | https://github.com/liumency/SYSU-CD | https://aistudio.baidu.com/aistudio/datasetdetail/98596 |
| 4-17 | S2Looking | Change Detection | 1024 * 1024 | 3 | 8000 | 1 | png | png | __ | __ | Aerial image | Domestic independent property rights series satellites | 2021 | Chinese Academy of Sciences | https://www.rsaicp.com/portal/dataDetail?id=30 | https://aistudio.baidu.com/aistudio/datasetdetail/133833 |
| 4-18 | LEVIR-CD2 | Change Detection | 1024 * 1024 | 3 | 890 | 1 | png | png | __ | __ | Satellite image | GoogleEarth | 2021 | Chinese Academy of Sciences | https://www.rsaicp.com/portal/dataDetail?id=27 | https://aistudio.baidu.com/aistudio/datasetdetail/132093 |
| 4-19 | [Fei Yueyun 2017] Guangdong Government Data Innovation Competition | Change Detection | 3000~8106 * 15106 | 4 | 8 | 1 | tif | tif | 0.65m | __ | Satellite image | quickbird | 2017 | __ | https://tianchi.aliyun.com/competition/entrance/231615/information | |
| 4-20 | WHU dataset | Change Detection | 512 * 512 | 3 | 8189 | 1 | __ | __ | 0.25~ 0.3m, 2.7m | __ | Satellite image, Aerial image | QuickBird, Worldview series, IKONOS, ZY3, Aerial image | 2018 | Wuhan University | https://ieeexplore.ieee.org/document/8444434 | |
| 4-21 | Hi-UCD | Change Detection | 1024 * 1024 | 3 | 2586 | 9 | __ | __ | 0.1m | __ | __ | __ | 2020 | Wuhan University | https://arxiv.org/abs/2011.03247 | |
| 4-22 | rscupcd | Change Detection | 960 * 960 | 4 | 44 | 1 | tif | tif | __ | __ | __ | __ | 2020 | __ | http://rscup.bjxintong.com.cn/#/theme/4 | |
| 4-23 | gf2021 Building census and change detection data sets in high resolution visible light images | Change Detection | 512 * 512 | 3 | 5000 | 1 | png | png | __ | __ | Satellite image | GF2, JL1 | 2021 | Chinese Academy of Sciences | http://sw.chreos.org/challenge/dataset/5 | |
| 4-24 | WH-MAVS | Change Detection | 200*200 | 3 | 47134 | 15 | __ | __ | 1.2m | __ | Satellite image | GoogleEarth | 2021 | Wuhan University | http://sigma.whu.edu.cn/newspage.php?q=2021_06_27 | |
| 4-25 | PRCV2021cd | Change Detection | 512 * 512 | 3 | 16000 | 1 | png | png | __ | __ | __ | __ | 2021 | PRCV | https://captain-whu.github.io/PRCV2021_RS/dataset.html | |
| 4-26 | rsipac2021cd | Change Detection | 512 * 512 | 3 | 6388 | 1 | tif | png | 1~ 2m | __ | __ | __ | 2021 | Wuhan University | http://rsipac.whu.edu.cn/subject_two | https://aistudio.baidu.com/aistudio/datasetdetail/126838 |
| 4-27 | Change Detection Dataset | Change Detection | 984 * 740, 600 * 500, 390 * 200 | 224 | 6 | 3, 5 | mat | mat | __ | __ | hyperspectral | Airborne visual infrared imaging spectrometer/ AVIRIS, EO1Hyperion | 2019 | __ | https://gitlab.citius.usc.es/hiperespectral/ChangeDetectionDataset | https://aistudio.baidu.com/aistudio/datasetdetail/89523 |
| 4-28 | river chang dataset | Change Detection | 463 * 241 | 196 | 2 | 1 | mat | mat | 30m | 10nm | hyperspectral | EO1Hyperion | 2019 | Northwestern Polytechnical University | http://crabwq.github.io/ | https://aistudio.baidu.com/aistudio/datasetdetail/98802 |
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| 5-1 | Dstl Satellite Imagery Feature Detection | Instance Segmentation | 13348 * 3392, 837 * 848, 134 * 136 | 3, 16 | 57 | 10 | tif | json | 0.31m, 1.24m, 7.5m | __ | Satellite image | 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 | Instance Segmentation | 300 * 300 | 3 | 341058 | 1 | jpg | json | __ | __ | Satellite image | GoogleMap | 2018 | crowdAI | https://www.crowdai.org/challenges/mapping-challengehttps://www.jianshu.com/p/90efc39975da | https://aistudio.baidu.com/aistudio/datasetdetail/54858 |
| 5-3 | Open AI Tanzania Building Footprint Segmentation Challenge | Instance Segmentation | 40000± * 40000± | 3 | 13 | 3 | tif | json | __ | __ | Aerial image | Aerial image | 2018 | jordan | https://competitions.codalab.org/competitions/20100 | https://aistudio.baidu.com/aistudio/datasetdetail/76145 |
| 5-4 | Sentinel 2 Cloud Mask Catalogue | Instance Segmentation | 1022 * 1022 | 13 | 513 | 3 | npy | npy, shp | 20m | __ | Satellite image | Sentinel2 | 2020 | __ | https://zenodo.org/record/4172871 | https://aistudio.baidu.com/aistudio/datasetdetail/105196 |
| 5-5 | CASIA-aircraft | Instance Segmentation | 399 * 399 | 3 | 40696 | 3 | jpg | xml | __ | __ | Satellite image | GoogleEarth | 2021 | Chinese Academy of Sciences | https://www.rsaicp.com/portal/dataDetail?id=16 | https://aistudio.baidu.com/aistudio/datasetdetail/131700 |
| 5-6 | CASIA-Ship | Instance Segmentation | 1680 * 913 | 3 | 791 | 1 | jpg | json | __ | __ | Satellite image | GoogleEarth | 2021 | Chinese Academy of Sciences | https://www.rsaicp.com/portal/dataDetail?id=14 | https://aistudio.baidu.com/aistudio/datasetdetail/131586 |
| 5-7 | Airbus Ship Detection Challenge | Instance Segmentation | 768 * 768 | 3 | 40000+ | 1 | jpg | csv | __ | __ | Aerial image | Aerial image | 2018 | Airbus | https://www.kaggle.com/c/airbus-ship-detection | |
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| 6-1 | MLRSNet | Multi-label Classification | 256 * 256 | 3 | 109161 | 46 | jpg | csv | 0.1~ 10m | __ | Satellite image | GoogleEarth | 2020 | China University of Geosciences | https://data.mendeley.com/datasets/7j9bv9vwsx/2 | https://aistudio.baidu.com/aistudio/datasetdetail/76804 |
| 6-2 | planet: understanding the amazon from space | Multi-label Classification | 256 * 256 | 4 | 150000+ | 17 | tif, jpg | csv | 3~ 3.7m | __ | Satellite image | Planet | 2017 | planet | https://www.kaggle.com/c/planet-understanding-the-amazon-from-space/data | |
| 6-3 | Big Earth Net | Multi-label Classification | 120 * 12060 * 6020 * 20; | 3 | 590326 | 43 | tif | json | 10m, 20m, 60m | __ | Satellite image | Sentinel1, Sentinel2 | 2019 | Technical University of Berlin | https://bigearth.net/ | |
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| 7-1 | UAV123 | Object Tracking | 720 * 1280 | 3 | 110000 | 12 | jpg | txt | __ | __ | Aerial image | 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 | Dim aircraft target detection and tracking data set in infrared images against ground/air background | Object Tracking | 256 * 256 | 1 | 16177 | 1 | bmp | txt | 10~ 100m | __ | Aerial image | Aerial image | 2019 | National University of Defense Technology | http://www.csdata.org/p/387/ | https://aistudio.baidu.com/aistudio/datasetdetail/138620 |
| 7-3 | Infrared dim dim moving target detection data set in complex background | Object Tracking | 640 * 512 | 1 | 150185 | 1 | png | json | __ | __ | Aerial image | Aerial image | 2021 | National University of Defense Technology | https://www.scidb.cn/en/detail?dataSetId=808025946870251520 | https://aistudio.baidu.com/aistudio/datasetdetail/138957 |
| 7-4 | VisDrone2019-SOT | Object Tracking | 3840 * 2160 | 3 | 1393000 | 10 | jpg | txt | 1~ 1.2m | __ | Aerial image | Aerial image | 2018 | Tianjin University | https://github.com/VisDrone/VisDrone-Dataset | https://aistudio.baidu.com/aistudio/datasetdetail/137459 |
| 7-5 | VisDrone2019-MOT | Object Tracking | 3840 * 2160 | 3 | 39988 | 10 | jpg | txt | 1~ 1.2m | __ | Aerial image | Aerial image | 2018 | Tianjin University | https://github.com/VisDrone/VisDrone-Dataset | https://aistudio.baidu.com/aistudio/datasetdetail/137018 |
| 7-6 | VISO-SOT | Object Tracking | 1000 * 1000 | 3 | 32825 | 4 | jpg | txt | 0.5~ 1.1m | __ | Satellite image | JL1 | 2021 | National University of Defense Technology | https://satvideodt.github.io/ | https://aistudio.baidu.com/aistudio/datasetdetail/138105 |
| 7-7 | VISO-MOT | Object Tracking | 1000 * 1000 | 3 | 32825 | 4 | jpg | txt | 0.5~ 1.1m | __ | Satellite image | JL1 | 2021 | National University of Defense Technology | https://satvideodt.github.io/ | https://aistudio.baidu.com/aistudio/datasetdetail/138362 |
| 7-8 | rscuptrc | Object Tracking | 1000± * 1000± | 3 | 6000 | 4 | jpg | txt | __ | __ | __ | __ | 2019 | __ | http://rscup.bjxintong.com.cn/#/theme/5 | |
| 7-9 | gf2021 Multi-target tracking data set in high resolution optical satellite video | Object Tracking | 1920 * 1080 | 3 | 20000± | 2 | jpg | txt | 1~ 1.2m | __ | Satellite image | JL1 | 2021 | Chinese Academy of Sciences | http://sw.chreos.org/challenge/dataset/6 | |
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| 8-1 | UCM caption | Image Caption | 256 * 256 | 3 | 2100 | 21 | tif | json | 1foot | __ | Satellite image | USGS National Map | 2016 | Chinese Academy of Sciences | https://github.com/201528014227051/RSICD_optimal | https://aistudio.baidu.com/aistudio/datasetdetail/90740 |
| 8-2 | Sydney caption | Image Caption | 500 * 500 | 3 | 613 | 7 | tif | json | 0.5m | __ | Satellite image | GoogleEarth | 2016 | Chinese Academy of Sciences | https://github.com/201528014227051/RSICD_optimal | https://aistudio.baidu.com/aistudio/datasetdetail/91126 |
| 8-3 | RSICD | Image Caption | 224 * 224 | 3 | 10921 | 30 | jpg | json | __ | __ | Satellite image | GoogleEarth, BaiduMap, MapABC, Tianditu | 2017 | IEEE | https://github.com/201528014227051/RSICD_optimal | https://aistudio.baidu.com/aistudio/datasetdetail/90307 |
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| 9-1 | Aerialto Map | Image Generation | 600 * 600 | 3 | 2094 | __ | jpg | jpg | __ | __ | Satellite image | GoogleMaps | 2017 | UCBerkeley | https://github.com/phillipi/pix2pix | https://aistudio.baidu.com/aistudio/datasetdetail/103972 |
| 9-2 | SateHaze1k | Image Generation | 512 * 512 | 3 | 1200 | __ | png | png | __ | __ | Satellite image | GF-2, GF-3 | 2017 | Tsinghua University | https://www.dropbox.com/s/k2i3p7puuwl2g59/Haze1k.zip?dl=0 | https://aistudio.baidu.com/aistudio/datasetdetail/134292 |
| 9-3 | WHU MVS | Image Generation | 768 * 384 | 1 | 28400 | __ | png | __ | 0.1m | __ | Aerial image | Aerial image | 2020 | Wuhan University | http://gpcv.whu.edu.cn/data/WHU_MVS_Stereo_dataset.html | https://aistudio.baidu.com/aistudio/datasetdetail/136652 |
| 9-4 | WHU Stereo | Image Generation | 768 * 384 | 1 | 21868 | __ | png | __ | 0.1m | __ | Aerial image | Aerial image | 2020 | Wuhan University | http://gpcv.whu.edu.cn/data/WHU_MVS_Stereo_dataset.html | https://aistudio.baidu.com/aistudio/datasetdetail/136652 |
| 9-5 | WHU TCL SatMVS 1.0 | Image Generation | 5120 * 5120 | 1 | 300 | __ | tif, jpg | __ | 2.1m, 2.5m | __ | Satellite image | ZY3 | 2021 | Wuhan University | http://gpcv.whu.edu.cn/data/whu_tlc.html | https://aistudio.baidu.com/aistudio/datasetdetail/136567 |
| 9-6 | WHU TCL SatMVS 2.0 | Image Generation | 768 * 384 | 1 | 5011 | __ | tif | __ | 2.1m, 2.5m | __ | Satellite image | ZY3 | 2021 | Wuhan University | http://gpcv.whu.edu.cn/data/whu_tlc.html | https://aistudio.baidu.com/aistudio/datasetdetail/136567 |
| 9-7 | DLR-ACD | Image Generation | 3619 * 5226 | 3 | 33 | 1 | __ | __ | 0.045~ 0.15m | __ | Aerial image | Aerial image | 2019 | German Aerospace Center | https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-58354/ | |
| 9-8 | SEN12MS-CR | Image Generation | 256 * 256 | 13, 2 | 122218 | __ | __ | __ | __ | __ | Satellite image | Sentinel1, Sentinel2 | 2020 | TUM | https://mediatum.ub.tum.de/1554803 |