DigiGreen/farmerchat-image-samples
FarmerChat Crop Image Samples A sample of farmer-submitted photographs from FarmerChat, an agricultural advisory service used by smallholder farmers in India, Ethiopia, Kenya and Nigeria. Published by Digital Green. This release contains 6,089 records (5,957 distinct photographs; some photographs belong to more than one category, see below) drawn from 7 categories representing different outcomes of an automated crop diagnosis pipeline, sampled across country, month, crop and… See the full description on the dataset page: https://huggingface.co/datasets/DigiGreen/farmerchat-image-samples.
Remove 7 non-photographic submissions from livestock category
Add livestock category: 150 caption-confirmed animal photos
Remove livestock category: images don't match the label, flag was text-derived not image-derived
v2: quality-gate + VLM content filter fix (6,066 records, 7 categories, replaces prior junk-contaminated release)
Update column docs for normalized crop/diagnosis
Normalize crop/diagnosis, drop confidence + health_status columns
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
initial commit
