Ross ROSS = Recommend OSS · open-source software intelligence for agents

z-x-yang/Segment-and-Track-Anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes. observed · 2026-08-28

github.com/z-x-yang/Segment-and-Track-Anything · Jupyter Notebook · AGPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

61/100

  • Activity 90
  • Release rhythm 8
  • Longevity 88
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1235
  • days_rel: n/a
  • days_push: 61
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

3134 stars · 355 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An open-source pipeline (SAM-Track) that segments and tracks arbitrary objects in videos using the Segment Anything Model for key-frame segmentation and DeAOT for multi-object tracking and mask propagation. It supports automatic and interactive workflows, including a Gradio WebUI and Colab demo.

Use cases

  • segment and track objects in a video
  • interactive video object segmentation
  • automatically detect and segment new objects in video frames
  • propagate segmentation masks across video frames
  • track multiple objects in drone footage
  • build a video annotation pipeline for autonomous driving datasets

When to choose

  • you need open-vocabulary segmentation and tracking of arbitrary objects in videos
  • you want interactive click/brush-based segmentation with automatic propagation
  • you need a research baseline combining SAM and AOT/DeAOT
  • you want a WebUI or Colab demo for video segmentation without writing code

When to avoid

  • you need real-time tracking on CPU-only hardware
  • you require a lightweight production tracker with minimal dependencies
  • you only need simple bounding-box tracking without pixel-level masks
  • you need a commercially permissive license (project is AGPL-3.0)

Facets

library · maturity active

computer-vision image-processing video-processing machine-learning deep-learning computer-vision machine-learning artificial-intelligence python cross-platform segment-anything video-object-segmentation object-tracking sam deaot interactive-segmentation webui video gpu

1 source

Member repositories

RepositoryRoleHealth v2
z-x-yang/Segment-and-Track-Anythingmain61

For agents

markdown · JSON · MCP: product_card(name="z-x-yang/Segment-and-Track-Anything")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem