South Africa Crop Type Competition

This dataset was produced as part of the Radiant Earth Spot the Crop Challenge (https://zindi.africa/hackathons/radiant-earth-spot-the-crop-hackathon). The objective of the competition was to create a machine learning model to classify fields by crop type from images collected during the growing season by the Sentinel-2 and Sentinel-1 satellites.

Data and Resources

README.mdMD
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documentation.pdfPDF
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field_info_test.csvCSV datastore Error
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field_info_train.csvCSV datastore Error
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labels.jsonJSON
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sample_submission.csvCSV datastore Error
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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	June 26, 2024
Date modified	August 21, 2025
Languages
Same as	https://source.coop//radiantearth/south-africa-crops-competition
Cite as
Creators	Creator 1 Type Organization ID radiantearth Identifier Name Radiant Earth Email URL https://source.coop/radiantearth
Publishers
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