Update README.md

README.md

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   - split: test
     path: data/test-*
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+
+# EuroSat (RGB)
+
+## Description
+
+A dataset based on Sentinel-2 satellite images covering 13 spectral bands and consisting of 10 classes with 27000 labeled and geo-referenced samples. This is the RGB version of the dataset with visible bands encoded as JPEG images.
+
+* Website: https://github.com/phelber/eurosat
+* Paper: https://arxiv.org/abs/1709.00029
+
+
+## Citation
+```bibtext
+@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},
+  year={2019},
+  publisher={IEEE}
+}
+```