EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

EuroSAT is a land use and land cover classification dataset. The dataset is based on Sentinel-2 satellite imagery covering 13 spectral bands and consists of 10 LULC classes with a total of 27,000 labeled and geo-referenced images. The dataset is associated with the publications "Introducing EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification" and "EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification". This catalog contains the multi-spectral version of the EuroSAT dataset, which includes all 13 Sentinel-2 bands in the original value range.

Data and Resources

Additional Info

Field Value
ID
GCS Poster
Filebin Poster
Version
Is live dataset
License https://creativecommons.org/licenses/by-sa/4.0/
Structured data license
Date created
Date published April 2, 2026
Date modified April 2, 2026
Languages
Same as
  1. https://source.coop//nlebovits/eurosat-ms
Cite as
Creators
Creator 1
Type
Person
ID
nlebovits
Identifier
Name
Nissim Lebovits
Email
nlebovits@pm.me
URL
https://source.coop/nlebovits
Publishers
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