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txt
string | __key__
string | __url__
string |
|---|---|---|
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| train/annotations/version1.0/P0000 | hf://datasets/torchgeo/dota@672e63236622f7da6ee37fca44c50ac368b77cab/dotav1.0_annotations_train.tar.gz |
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| train/annotations/version1.0/P0001 | hf://datasets/torchgeo/dota@672e63236622f7da6ee37fca44c50ac368b77cab/dotav1.0_annotations_train.tar.gz |
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| train/annotations/version1.0/P0005 | hf://datasets/torchgeo/dota@672e63236622f7da6ee37fca44c50ac368b77cab/dotav1.0_annotations_train.tar.gz |
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| train/annotations/version1.0/P0010 | hf://datasets/torchgeo/dota@672e63236622f7da6ee37fca44c50ac368b77cab/dotav1.0_annotations_train.tar.gz |
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| train/annotations/version1.0/P0011 | hf://datasets/torchgeo/dota@672e63236622f7da6ee37fca44c50ac368b77cab/dotav1.0_annotations_train.tar.gz |
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| train/annotations/version1.0/P0012 | hf://datasets/torchgeo/dota@672e63236622f7da6ee37fca44c50ac368b77cab/dotav1.0_annotations_train.tar.gz |
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| train/annotations/version1.0/P0013 | hf://datasets/torchgeo/dota@672e63236622f7da6ee37fca44c50ac368b77cab/dotav1.0_annotations_train.tar.gz |
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| train/annotations/version1.0/P0018 | hf://datasets/torchgeo/dota@672e63236622f7da6ee37fca44c50ac368b77cab/dotav1.0_annotations_train.tar.gz |
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| train/annotations/version1.0/P0020 | hf://datasets/torchgeo/dota@672e63236622f7da6ee37fca44c50ac368b77cab/dotav1.0_annotations_train.tar.gz |
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| train/annotations/version1.0/P0021 | hf://datasets/torchgeo/dota@672e63236622f7da6ee37fca44c50ac368b77cab/dotav1.0_annotations_train.tar.gz |
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| train/annotations/version1.0/P0030 | hf://datasets/torchgeo/dota@672e63236622f7da6ee37fca44c50ac368b77cab/dotav1.0_annotations_train.tar.gz |
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| train/annotations/version1.0/P0039 | hf://datasets/torchgeo/dota@672e63236622f7da6ee37fca44c50ac368b77cab/dotav1.0_annotations_train.tar.gz |
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| train/annotations/version1.0/P0041 | hf://datasets/torchgeo/dota@672e63236622f7da6ee37fca44c50ac368b77cab/dotav1.0_annotations_train.tar.gz |
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| train/annotations/version1.0/P0042 | hf://datasets/torchgeo/dota@672e63236622f7da6ee37fca44c50ac368b77cab/dotav1.0_annotations_train.tar.gz |
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| train/annotations/version1.0/P0044 | hf://datasets/torchgeo/dota@672e63236622f7da6ee37fca44c50ac368b77cab/dotav1.0_annotations_train.tar.gz |
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| train/annotations/version1.0/P0049 | hf://datasets/torchgeo/dota@672e63236622f7da6ee37fca44c50ac368b77cab/dotav1.0_annotations_train.tar.gz |
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| train/annotations/version1.0/P0050 | hf://datasets/torchgeo/dota@672e63236622f7da6ee37fca44c50ac368b77cab/dotav1.0_annotations_train.tar.gz |
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| train/annotations/version1.0/P0052 | hf://datasets/torchgeo/dota@672e63236622f7da6ee37fca44c50ac368b77cab/dotav1.0_annotations_train.tar.gz |
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| train/annotations/version1.0/P0054 | hf://datasets/torchgeo/dota@672e63236622f7da6ee37fca44c50ac368b77cab/dotav1.0_annotations_train.tar.gz |
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| train/annotations/version1.0/P0058 | hf://datasets/torchgeo/dota@672e63236622f7da6ee37fca44c50ac368b77cab/dotav1.0_annotations_train.tar.gz |
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| train/annotations/version1.0/P0061 | hf://datasets/torchgeo/dota@672e63236622f7da6ee37fca44c50ac368b77cab/dotav1.0_annotations_train.tar.gz |
End of preview.
DOTA dataset collection.
Image Source and Usage License
The DOTA images are collected from the Google Earth, GF-2 and JL-1 satellite provided by the China Centre for Resources Satellite Data and Application, and aerial images provided by CycloMedia B.V. DOTA consists of RGB images and grayscale images. The RGB images are from Google Earth and CycloMedia, while the grayscale images are from the panchromatic band of GF-2 and JL-1 satellite images. All the images are stored in 'png' formats.
Use of the Google Earth images must respect the "Google Earth" terms of use.
All images and their associated annotations in DOTA can be used for academic purposes only, and any commercial use is prohibited.
Citation
If you use this dataset in your work please cite:
@ARTICLE{9560031, author={Ding, Jian and Xue, Nan and Xia, Gui-Song and Bai, Xiang and Yang, Wen and Yang, Michael and Belongie, Serge and Luo, Jiebo and Datcu, Mihai and Pelillo, Marcello and Zhang, Liangpei}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, title={Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges}, year={2021}, volume={}, number={}, pages={1-1}, doi={10.1109/TPAMI.2021.3117983}}
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