dida-do/eurocropsml
EuroCropsML is a ready-to-use benchmark dataset for few-shot crop type classification using Sentinel-2 imagery.
This dataset helps agricultural researchers and remote sensing specialists develop better models for identifying specific crops across European agricultural parcels. It takes pre-processed satellite imagery from Sentinel-2 for 2021 and provides labeled data points for 176 different crop types. The output is a ready-to-use dataset for training and benchmarking machine learning models, especially for situations where you have limited examples of a particular crop.
Available on PyPI.
Use this if you are a machine learning researcher or data scientist working on crop classification and need a standardized, large-scale benchmark dataset of European agricultural parcels with satellite imagery.
Not ideal if you need raw satellite imagery, are working outside of Europe, or require data from years other than 2021.
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Language
Python
License
MIT
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Last pushed
Jan 16, 2026
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