Datasets › SA-1B

SA-1B

Introduced by Alexander Kirillov et al. in Segment Anything5 Apr 2023 archive 2025-07-28

SA-1B consists of 11M diverse, high resolution, licensed, and privacy protecting images and 1.1B high-quality segmentation masks.

Source: Segment Anything

Image Source: Segment Anything

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Segmentation SA-1B unSAM+ (Semi-supervised) Average Precision 42.8 Segment Anything without Supervision frank-xwang/unsam 2 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 183. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Segment Anything without Supervision 1 2 28 Jun 2024 ran 5 of 5 samples (0 unverified; 5 pointer-only for licence)

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

  • SA-1B

1 variant name, as the archive lists them.

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