Datasets › FBIS-22M
FBIS-22M (Field Boundary Instance Segmentation - 22M)
FBIS-22M is the largest field boundary instance segmentation dataset to date, featuring over 22 million labeled field instances across more than 672 000 high-resolution satellite image patches. It includes imagery from 0.25m to 10m resolution, sourced from multiple satellites and covering diverse geographic regions, enabling robust training for scalable agricultural vision models.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- FBIS-22M
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections