giswqs/EuroSAT_RGB

EuroSAT RGB

Dataset Description

EuroSAT is a dataset for land use and land cover (LULC) classification using Sentinel-2 satellite imagery. This version contains the RGB (visible spectrum) bands encoded as JPEG images at 64x64 pixel resolution.

The dataset covers 10 land use/land cover classes across 27,000 geo-referenced images from 34 European countries.

• —Source: <https://zenodo.org/records/7711810>
• —DOI: 10.5281/zenodo.7711810
• —License: MIT
• —Paper: EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

Authors

Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth

Dataset Structure

Splits

Classes

Features

• —image: 64x64 RGB JPEG satellite image
• —label: Integer class label (0–9)
• —filename: Original filename with class directory prefix

Usage

from datasets import load_dataset

dataset = load_dataset("giswqs/EuroSAT_RGB")

# Access training split
train = dataset["train"]
print(train[0])

Citation

@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},
  volume={12},
  number={7},
  pages={2217--2226},
  year={2019},
  doi={10.1109/JSTARS.2019.2918242},
  publisher={IEEE}
}