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
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
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
- readme: https://github.com/z-x-yang/Segment-and-Track-Anything · fetched 2026-08-28 · f226aaf5b50a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| z-x-yang/Segment-and-Track-Anything | main | 61 |
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