geofm-agriculture-benchmark

GeoFM Agriculture Benchmark Sample data and fine-tuned weights accompanying our ACM SIGSPATIAL 2026 paper, released so other researchers can reproduce inference with SatMAE, Prithvi, and SpectralGPT on our multi-temporal crop segmentation and change-detection tasks. This is not the full training dataset — it’s a set of representative chips per region/model plus every fine-tuned checkpoint we report in the paper, enough to run and sanity-check inference end-to-end. Contact the… See the full description on the dataset page:

Source: Hugging Face Hub (sanmay4119/geofm-agriculture-benchmark). Metadata imported from the dataset’s Hub tags.