# liliu-avril/Awesome-Segment-Anything

This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).

Repository: https://github.com/liliu-avril/Awesome-Segment-Anything
Canonical: https://ross.abutalabs.com/products/liliu-avril-awesome-segment-anything
License: MIT
License Family: permissive
Last push: 2026-09-02T08:24:23+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 35, longevity 86
- inputs: {"age_days": 1205, "days_push": 0, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1217, forks 75 (observed 2026-09-03T02:15:14.415407+00:00)

## What it is
A curated awesome-list and companion repository for the first comprehensive survey paper on Meta AI's Segment Anything Model (SAM). It continuously tracks papers, open-source projects, and applications of SAM across vision and beyond.

## Use cases
- find papers on segment anything model
- survey of SAM applications in computer vision
- curated list of SAM-based open-source projects
- learn about foundation models for image segmentation
- track recent research on promptable segmentation
- find SAM variants for specific data types like video or medical images

## When to choose
- you want a comprehensive, continuously updated overview of SAM research and applications
- you are writing a paper or literature review on image segmentation foundation models
- you need to discover open-source SAM derivatives for a specific task

## When to avoid
- you need runnable segmentation code or a model itself rather than a paper list
- you want a maintained software library with API guarantees
- you need non-SAM segmentation methods only

## Facets
- artifact type: learning-resource
- maturity: active
- function: computer-vision, image-processing, documentation
- domain: computer-vision, image-processing, artificial-intelligence, machine-learning, awesome-lists, tutorials
- platform: cross-platform
- tags: segment-anything, sam, survey, awesome-list, image-segmentation, foundation-models, paper-list

## Member repositories
- liliu-avril/Awesome-Segment-Anything (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:14.415407+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:17:11.554094+00:00, confidence not recorded.
  - readme: https://github.com/liliu-avril/Awesome-Segment-Anything (fetched 2026-09-03T02:15:14.415407+00:00, sha acbb15dfac6d)
- Data as of 2026-08-30T08:39:29.467469+00:00.