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--- |
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license: other |
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license_name: cc-by-nc-4.0 |
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license_link: https://creativecommons.org/licenses/by-nc/4.0/deed.en |
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--- |
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[iSAID](https://captain-whu.github.io/iSAID/dataset.html) dataset annotations. The imagery is the same as DOTA Version 1 which can be found [here](https://huggingface.co/datasets/torchgeo/dota/blob/main/README.md). |
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## Image Source and Usage License |
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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. |
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Use of the Google Earth images must respect the ["Google Earth" terms of use](https://about.google/brand-resource-center/products-and-services/geo-guidelines/). |
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All images from DOTA and their associated annotations in this repo can be used for academic purposes only, and any commercial use is prohibited. |
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## Citation |
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If you use this dataset in your work please cite: |
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@inproceedings{waqas2019isaid, |
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title={iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images}, |
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author={Waqas Zamir, Syed and Arora, Aditya and Gupta, Akshita and Khan, Salman and Sun, Guolei and Shahbaz Khan, Fahad and Zhu, Fan and Shao, Ling and Xia, Gui-Song and Bai, Xiang}, |
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booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops}, |
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pages={28--37}, |
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year={2019} |
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} |
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and |
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@InProceedings{Xia_2018_CVPR, |
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author = {Xia, Gui-Song and Bai, Xiang and Ding, Jian and Zhu, Zhen and Belongie, Serge and Luo, Jiebo and Datcu, Mihai and Pelillo, Marcello and Zhang, Liangpei}, |
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title = {DOTA: A Large-Scale Dataset for Object Detection in Aerial Images}, |
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booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, |
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month = {June}, |
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year = {2018} |
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} |
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