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Dataset Card for "EuroSAT2"
Licensing Information
MIT.
Citation Information
Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification
@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},
year = 2019,
journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
publisher = {IEEE}
}
@inproceedings{helber2018introducing,
title = {Introducing 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},
year = 2018,
booktitle = {IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium},
pages = {204--207},
organization = {IEEE}
}
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Paper
Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification
Paper
Introducing EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
GitHub
EuroSAT
Data
Zenodo
Size of downloaded dataset files:
88.6 MB
Size of the auto-converted Parquet files:
88.6 MB
Number of rows:
27,000