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DatasetComputer Visionv1.0

SA-1B (Segment Anything)

by Meta AI · open-source · Last verified 2026-03-17

SA-1B is Meta AI's massive segmentation dataset released alongside the Segment Anything Model (SAM), containing over 1 billion high-quality segmentation masks across 11 million diverse, high-resolution images. It is the largest segmentation dataset ever created and enables training of generalist vision models with strong zero-shot transfer capabilities.

https://segment-anything.com
B+
B+Good
Adoption: AQuality: A+Freshness: ACitations: A+Engagement: F

Specifications

License
SA-1B Research License
Pricing
open-source
Capabilities
instance-segmentation, zero-shot-segmentation, foundation-model-training
Integrations
PyTorch, HuggingFace
Use Cases
model-training, foundation-model-pretraining, zero-shot-transfer
API Available
No
Tags
segmentation, SAM, foundation-model, masks, zero-shot
Added
2026-03-17
Completeness
100%

Index Score

77.2
Adoption
87
Quality
96
Freshness
85
Citations
93
Engagement
0

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