# hiukim/mind-ar-js

Web Augmented Reality. Image Tracking, Face Tracking. Tensorflow.js

Repository: https://github.com/hiukim/mind-ar-js
Canonical: https://ross.abutalabs.com/products/mind-ar-js
Language: JavaScript
License: MIT
License Family: permissive
Topics: webar, threejs, aframe, tensorflowjs, augmented-reality, mediapipe
Last push: 2024-06-11T13:03:11+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2310, "days_push": 813, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2718, forks 514 (observed 2026-08-28T04:07:12.164853+00:00)

## What it is
MindAR is a web augmented reality library supporting image tracking and face tracking, written end-to-end in JavaScript with TensorFlow.js. It integrates with Three.js and A-Frame, using WebGL and web workers for performance.

## Use cases
- add image tracking AR to a website
- build face filter try-on web app
- create AR experiences with A-Frame in a few lines of code
- run markerless AR in the browser without native apps
- overlay 3D content on images via webcam

## When to choose
- you need browser-based AR with image or face tracking
- you want a free open-source alternative to commercial WebAR SDKs
- you use Three.js or A-Frame for rendering

## When to avoid
- you need location-based or fiducial marker tracking (use AR.js)
- you need native mobile AR like ARKit/ARCore features
- you need commercial-grade support guarantees

## Facets
- artifact type: library
- maturity: active
- function: computer-vision, image-processing, ui-components
- domain: computer-vision, web-development, graphics
- platform: browser
- tags: augmented-reality, image-tracking, face-tracking, threejs, aframe, tensorflowjs, mediapipe, webar, javascript, web

## Member repositories
- hiukim/mind-ar-js (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:12.164853+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 2026-08-30T02:15:19.189116+00:00, confidence not recorded.
  - readme: https://github.com/hiukim/mind-ar-js (fetched 2026-08-28T04:07:12.164853+00:00, sha 0bf4346304d0)
- Data as of 2026-08-30T08:39:29.467469+00:00.