All datasets / tanganke
tanganke/eurosat
The checks could not identify a recognised licence ID in the dataset's metadata.
- Declared licenceNot declared in the tag or the card (see datasets with no declared licence)
- Licence filesNo licence file at the top level of the repository
- Declared sourcesNone listed in the card metadata
- Access gated on Hugging FaceNo
Tasks
Citation text from the card
@article{helber2019eurosat,
title={Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification},
author={Helber, Patrick and Bischke, Benjamin and Dengel, Andreas and Borth, Damian},
journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
volume={12},
number={7},
pages={2217--2226},
year={2019},
publisher={IEEE}
}
@misc{yangAdaMergingAdaptiveModel2023,
title = {{{AdaMerging}}: {{Adaptive Model Merging}} for {{Multi-Task Learning}}},
shorttitle = {{{AdaMerging}}},
author = {Yang, Enneng and Wang, Zhenyi and Shen, Li and Liu, Shiwei and Guo, Guibing and Wang, Xingwei and Tao, Dacheng},
year = {2023},
month = oct,
number = {arXiv:2310.02575},
eprint = {2310.02575},
primaryclass = {cs},
publisher = {arXiv},
doi = {10.48550/arXiv.2310.02575},
url = {http://arxiv.org/abs/2310.02575},
archiveprefix = {arxiv},
keywords = {Computer Science - Computer Vision and Pattern Recognition,Computer Science - Machine Learning}
}
@misc{tangConcreteSubspaceLearning2023,
title = {Concrete {{Subspace Learning}} Based {{Interference Elimination}} for {{Multi-task Model Fusion}}},
author = {Tang, Anke and Shen, Li and Luo, Yong and Ding, Liang and Hu, Han and Du, Bo and Tao, Dacheng},
year = {2023},
month = dec,
number = {arXiv:2312.06173},
eprint = {2312.06173},
publisher = {arXiv},
url = {http://arxiv.org/abs/2312.06173},
archiveprefix = {arxiv},
copyright = {All r
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dataset_licence({ "id": "tanganke/eurosat" })
signal: "unclear"
stated_licence: null
sources: 0
Licence facts reported by the dataset and its declared sources. Not legal advice, and not a grant of permission to use the dataset.