Segment Anything (SAM)
Segment Anything (SAM) is a model family from Meta135, with 2 assessed releases in this catalog. Licenses and availability are recorded for each release, not for the family; its releases use the Apache License 2.0 and the SAM License.
Segment Anything is Meta's family of promptable segmentation models. The original SAM (April 2023) produces object masks in images from prompts such as points or boxes; SAM 2 (July 2024, updated as SAM 2.1 in September 2024) extends this to video with streaming memory; SAM 3 (November 2025, updated as SAM 3.1 in March 2026) adds detection, segmentation, and tracking of every instance of a concept named by a short text phrase or image exemplar. Licenses differ by generation: Apache 2.0 for SAM and SAM 2, and Meta's custom SAM License for SAM 3.1234567
- Repository: SAM 3 repository (external site: github.com)
- Repository: SAM 2 repository (external site: github.com)
- Repository: Original Segment Anything repository (external site: github.com)
- Paper: SAM 3: Segment Anything with Concepts (arXiv 2511.16719) (external site: arxiv.org)
Releases assessed
| Release | Weights | Tier (USASI rubric v0.2) | License | Released |
|---|---|---|---|---|
| SAM 2.1 Hiera-Large | Weights: Public | Model-disclosure tier (USASI rubric v0.2): Open-weight | Apache-2.0 | Sep 29, 2024 |
| SAM 3.1 | Weights: Partial | Model-disclosure tier (USASI rubric v0.2): Restricted weights | SAM License | Mar 27, 2026 |
What it is useful for
Organization context
U.S. eligibility
Eligible · basis: U.S. headquarters
The models are published by Meta in the facebookresearch GitHub organization and the facebook Hugging Face account (SAM and SAM 2 by Meta FAIR; SAM 3 by Meta Superintelligence Labs). Meta Platforms, Inc. has its principal executive offices in Menlo Park, California, per its Form 10-K.1359
Sources
This listing is not an endorsement, a safety assessment, or a federal approval.
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APA style
USASI. (2026, September 29). Segment Anything (SAM). United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/segment-anything/
BibTeX
@misc{usasi_segment_anything,
author = {{USASI}},
title = {Segment Anything (SAM)},
year = {2026},
month = sep,
howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/segment-anything/}},
note = {United States of America Superintelligence. Last updated 2026-09-29}
}The date is when this page was last updated. Add the date you read it if your style needs one.
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