Eurosat is a dataset and deep learning benchmark for land use and land cover classification. The dataset is based on Sentinel-2 satellite images, covers 13 spectral bands, consists of 10 categories, and has a total of 27,000 annotated and georeferenced images. Each scene category contains 2,000 to 3,000 remote sensing images, each with a size of 64 × 64 pixels.

The dataset contains the following 10 categories:

• Industrial Buildings
• Residential Buildings
• Annual Crop
• Permanent Crop
• River
• Sea & Lake
• Herbaceous Vegetation
• Highway
• Pasture
• Forest