Datasets:
image
imagewidth (px) 64
64
| label
class label 10
classes |
---|---|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
|
0annual crop
|
End of preview. Expand
in Dataset Viewer.
Dataset Card for "EuroSAT"
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}
}
- Downloads last month
- 33
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