BRIGHT EVIDENCE PACK / Demonstrated
SAM 1: selecting an object with a point or a box
The original 2023 Segment Anything release, now commonly called SAM 1, turns a click, box, or rough mask into an object segmentation, giving annotators and analysts an editable first pass across varied images.
Canonical Bright record · JSON evidence pack · Key-facts embed
Dates and assessment
- Source published
- 2023-04-05
- Bright published
- 2026-09-19
- Substantive update
- None recorded
- Evidence state
- Demonstrated
- Independent verification
- Not established by this source review
- Last source review
- 2026-09-19
The claim in context
The human problem
Drawing precise boundaries around objects is slow, repetitive work in image annotation and analysis.
The prior constraint
Segmentation systems usually needed category-specific labels and training before they could help on a new collection.
AI’s actual role
A promptable vision model produces candidate masks for objects without training a new model for each object category.
The documented result
Meta released SAM 1 inference code, Apache-2.0 model checkpoints, notebooks, and separate access to the SA-1B dataset in April 2023.
Why it may matter
Promptable masks can move human effort from drawing every boundary to checking and correcting proposals.
Limitations
- A plausible mask may still be wrong, especially in unfamiliar imagery. Apache-2.0 model artifacts do not settle the rights attached to input images, dataset access, or downstream uses.
- This is the historical SAM 1 release, not a claim about later Segment Anything generations. The official repository establishes Apache-2.0 model artifacts and intended workflows; SA-1B data access and downstream image rights remain separate.
Original evidence
- Segment Anything · repository
- Segment Anything · paper
Attribution
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