# jbhuang0604/awesome-computer-vision

A curated list of awesome computer vision resources

Repository: https://github.com/jbhuang0604/awesome-computer-vision
Canonical: https://ross.abutalabs.com/products/awesome-computer-vision
License Family: other
Last push: 2024-05-17T14:24:27+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4247, "days_push": 838, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 23518, forks 4434 (observed 2026-08-28T04:11:35.028369+00:00)

## What it is
A curated list of computer vision resources including books, courses, papers, software, datasets, pre-trained models, tutorials, and blogs. It serves as a reference index for learning and researching computer vision.

## Use cases
- find computer vision learning resources
- discover computer vision datasets
- find pre-trained computer vision models
- locate computer vision papers and courses
- explore awesome lists for vision subfields
- find computer vision tutorials and talks

## When to choose
- you want a broad curated index of computer vision materials
- you are starting to learn computer vision and need books or courses
- you need to find datasets or pre-trained models for vision tasks

## When to avoid
- you need working software or a library rather than a link list
- you need up-to-date coverage of the newest research
- you need a maintained tool with releases and support

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: computer-vision, image-processing, machine-learning, documentation
- domain: computer-vision, machine-learning, tutorials, awesome-lists
- platform: cross-platform
- tags: awesome-list, curated-resources, computer-vision, papers, datasets, courses

## Member repositories
- jbhuang0604/awesome-computer-vision (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:35.028369+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 2026-08-29T16:56:27.320592+00:00, confidence not recorded.
  - readme: https://github.com/jbhuang0604/awesome-computer-vision (fetched 2026-08-28T04:11:35.028369+00:00, sha 68d3f063f33a)
- Data as of 2026-08-30T08:39:29.467469+00:00.