README.md

metadata

dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': annual crop
            '1': forest
            '2': herbaceous vegetation
            '3': highway
            '4': industrial
            '5': pasture
            '6': permanent crop
            '7': residential
            '8': river
            '9': sea or lake
  splits:
    - name: train
      num_bytes: 88391109
      num_examples: 27000
  download_size: 88591771
  dataset_size: 88391109
license: mit
task_categories:
  - image-classification
  - zero-shot-image-classification

Dataset Card for "EuroSAT"

Dataset Description

• 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

Licensing Information

MIT.

Citation Information

Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

Introducing 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}
}