CV4A Kenya Crop Type Competition

This dataset was produced as part of the Crop Type Detection competition at the Computer Vision for Agriculture (CV4A) Workshop at the ICLR 2020 conference. 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 satellites.

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 July 5, 2023
Date modified August 21, 2025
Languages
Same as
  1. https://source.coop//radiantearth/african-crops-kenya-02
Cite as
Creators
Creator 1
Type
Organization
ID
radiantearth
Identifier
Name
Radiant Earth
Email
URL
https://source.coop/radiantearth
Publishers
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