{
 "id": "tanganke/eurosat",
 "owner": "tanganke",
 "name": "eurosat",
 "downloads": 17629,
 "likes": 3,
 "last_modified": "2024-05-16T02:40:58.000Z",
 "stated_licence": null,
 "stated_from": "none",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-classification"
 ],
 "citation": "@article{helber2019eurosat,\n  title={Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification},\n  author={Helber, Patrick and Bischke, Benjamin and Dengel, Andreas and Borth, Damian},\n  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},\n  volume={12},\n  number={7},\n  pages={2217--2226},\n  year={2019},\n  publisher={IEEE}\n}\n\n@misc{yangAdaMergingAdaptiveModel2023,\n  title = {{{AdaMerging}}: {{Adaptive Model Merging}} for {{Multi-Task Learning}}},\n  shorttitle = {{{AdaMerging}}},\n  author = {Yang, Enneng and Wang, Zhenyi and Shen, Li and Liu, Shiwei and Guo, Guibing and Wang, Xingwei and Tao, Dacheng},\n  year = {2023},\n  month = oct,\n  number = {arXiv:2310.02575},\n  eprint = {2310.02575},\n  primaryclass = {cs},\n  publisher = {arXiv},\n  doi = {10.48550/arXiv.2310.02575},\n  url = {http://arxiv.org/abs/2310.02575},\n  archiveprefix = {arxiv},\n  keywords = {Computer Science - Computer Vision and Pattern Recognition,Computer Science - Machine Learning}\n}\n\n@misc{tangConcreteSubspaceLearning2023,\n  title = {Concrete {{Subspace Learning}} Based {{Interference Elimination}} for {{Multi-task Model Fusion}}},\n  author = {Tang, Anke and Shen, Li and Luo, Yong and Ding, Liang and Hu, Han and Du, Bo and Tao, Dacheng},\n  year = {2023},\n  month = dec,\n  number = {arXiv:2312.06173},\n  eprint = {2312.06173},\n  publisher = {arXiv},\n  url = {http://arxiv.org/abs/2312.06173},\n  archiveprefix = {arxiv},\n  copyright = {All r",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "43750fc422c7fbd4289e2df3f7473617a5937acc",
 "stated_evidence": "https://huggingface.co/datasets/tanganke/eurosat/blob/43750fc422c7fbd4289e2df3f7473617a5937acc/README.md",
 "file_evidence": "https://huggingface.co/datasets/tanganke/eurosat/tree/43750fc422c7fbd4289e2df3f7473617a5937acc",
 "card_nc": false
}