# Hedlen/awesome-segment-anything

Tracking and collecting papers/projects/others related to Segment Anything.

Repository: https://github.com/Hedlen/awesome-segment-anything
Canonical: https://ross.abutalabs.com/products/awesome-segment-anything
License: MIT
License Family: permissive
Topics: awesome-list, image-generation, inpainting, object-detection, segmentation, suvey, application, chatgpt, segment-anything, stable-diffusion
Last push: 2026-04-26T03:57:08+00:00

## Health v2 (maintenance only)
Score: 65/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 79, release rhythm 35, longevity 88
- inputs: {"age_days": 1239, "days_push": 129, "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 1697, forks 127 (observed 2026-08-28T04:05:23.954818+00:00)

## What it is
A curated awesome-list tracking papers, projects, and resources related to Meta's Segment Anything (SAM) model family. It organizes research progress across domains like medical imaging, inpainting, video segmentation, robotics, and 3D.

## Use cases
- find papers on segment anything model
- track latest SAM research and projects
- find SAM variants for medical image segmentation
- discover tools for image inpainting with SAM
- research video segmentation models
- find SAM applications for autonomous driving or robotics

## When to choose
- surveying the Segment Anything research landscape
- finding SAM-based papers or open-source projects for a specific domain
- staying current with new SAM releases and derivatives

## When to avoid
- you need a runnable segmentation model or library rather than a link collection
- you need general computer-vision resources beyond SAM

## Facets
- artifact type: learning-resource
- maturity: active
- function: computer-vision, image-processing, documentation
- domain: computer-vision, image-processing, artificial-intelligence, machine-learning, awesome-lists
- platform: cross-platform
- tags: awesome-list, segment-anything, sam, image-segmentation, survey, paper-tracking, inpainting, stable-diffusion, medical-imaging

## Member repositories
- Hedlen/awesome-segment-anything (main) score 65

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:23.954818+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 2026-08-30T03:37:50.608166+00:00, confidence not recorded.
  - readme: https://github.com/Hedlen/awesome-segment-anything (fetched 2026-08-28T04:05:23.954818+00:00, sha ee9bd0c524b2)
- Data as of 2026-08-30T08:39:29.467469+00:00.