Dataset Card for Fields of the World This is a FiftyOne dataset with 70,484 samples (chips), 140,968 total samples across the window a / window b group slices. Installation If you haven't already, install FiftyOne: Usage Dataset Details Dataset Description Fields of The World (FTW) is a global machine learning benchmark dataset for agricultural field instance segmentation, spanning 25 countries across four continents (Europe, Africa, Asia, and South America). Each chip pairs two date, four band (red, green, blue, near infrared) Sentinel 2 satellite imagery with instance and semantic (2 class and 3 class) field boundary segmentation masks. FTW is an order of magnitude larger than prior field boundary benchmarks such as AI4Boundaries, AI4SmallFarms, PASTIS, and PASTIS R, with 70,462 sample chips (70,484 in this FiftyOne parsing after including a small number of "none" split rows) covering roughly 166,293 km² and 1.63 million labeled field polygons. This FiftyOne dataset was parsed from the official FTW archive distributed via Source Cooperative and the ftw baselines repository's ftw CLI tool. Curated by: Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddi…
Runs entirely in your browser via DuckDB-Wasm — this dataset's real data file is loaded once, then queried locally. Nothing is sent to a server.
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