Segment Anything
by Meta AI · open-source · Last verified 2026-03-17
Introduced the Segment Anything Model (SAM) and the SA-1B dataset of 1 billion masks on 11 million images. SAM is a promptable segmentation foundation model that generalizes to new image distributions and tasks without additional training, enabling a new paradigm of interactive segmentation.
https://arxiv.org/abs/2304.02643 ↗B+
B+—Good
Adoption: A+Quality: A+Freshness: ACitations: A+Engagement: F
Specifications
- License
- Apache 2.0
- Pricing
- open-source
- Capabilities
- image-segmentation, zero-shot-segmentation, interactive-segmentation
- Integrations
- huggingface, roboflow
- Use Cases
- object-segmentation, image-annotation, medical-imaging, robotics
- API Available
- No
- Tags
- segmentation, foundation-model, promptable, sam, zero-shot
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
79.2Adoption
93
Quality
95
Freshness
82
Citations
92
Engagement
0
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