# kjw0612/awesome-deep-vision

A curated list of deep learning resources for computer vision

Repository: https://github.com/kjw0612/awesome-deep-vision
Canonical: https://ross.abutalabs.com/products/awesome-deep-vision
License Family: other
Last push: 2023-08-15T10:52:15+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": 4125, "days_push": 1114, "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 11185, forks 2769 (observed 2026-08-28T04:10:46.325032+00:00)

## What it is
A curated awesome-list of deep learning resources for computer vision, including papers, courses, books, tutorials, and software. It covers topics like image classification, object detection, segmentation, and image captioning.

## Use cases
- find papers on deep learning for computer vision
- learn about object detection models
- study resources for image classification
- find courses and tutorials on computer vision
- discover image captioning research
- get a reading list for semantic segmentation

## When to choose
- you want a broad curated index of classic CV deep learning papers
- you are building a study plan for computer vision research

## When to avoid
- you need up-to-date coverage of recent models
- you want maintained or actively updated resources

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: deep-learning, computer-vision, documentation
- domain: deep-learning, computer-vision, tutorials
- platform: cross-platform
- tags: awesome-list, curated-resources, papers, image-classification, object-detection, semantic-segmentation

## Member repositories
- kjw0612/awesome-deep-vision (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:46.325032+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 2026-08-29T17:16:42.729995+00:00, confidence not recorded.
  - readme: https://github.com/kjw0612/awesome-deep-vision (fetched 2026-08-28T04:10:46.325032+00:00, sha 7262ee886240)
- Data as of 2026-08-30T08:39:29.467469+00:00.