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+ # dSprites EuroSAT (Test set only)
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+ Original paper: [EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification](https://arxiv.org/abs/1709.00029)
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+ Homepage: https://github.com/phelber/EuroSAT
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+ Bibtex:
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+ ```
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+ @article{helber2019eurosat,
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+ title={Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification},
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+ author={Helber, Patrick and Bischke, Benjamin and Dengel, Andreas and Borth, Damian},
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+ journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
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+ year={2019},
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+ publisher={IEEE}
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+ }
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+ @inproceedings{helber2018introducing,
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+ title={Introducing EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification},
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+ author={Helber, Patrick and Bischke, Benjamin and Dengel, Andreas and Borth, Damian},
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+ booktitle={IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium},
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+ pages={204--207},
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+ year={2018},
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+ organization={IEEE}
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+ }
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+ ```