# weiaicunzai/awesome-image-classification

A curated list of deep learning image classification papers and codes

Repository: https://github.com/weiaicunzai/awesome-image-classification
Canonical: https://ross.abutalabs.com/products/awesome-image-classification
License Family: other
Topics: deep-learning, computer-vision, image-classification, awesome, awesome-list, papers
Last push: 2022-04-20T15:52:51+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": 5215, "days_push": 1596, "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 3064, forks 603 (observed 2026-08-28T04:07:41.304716+00:00)

## What it is
A curated awesome-list of deep learning image classification papers and code repositories since 2014, with an ImageNet accuracy performance table. It serves as a learning roadmap for beginners entering computer vision.

## Use cases
- find papers on image classification architectures
- learn deep learning for computer vision from scratch
- compare ImageNet accuracy of ConvNet models
- find code implementations of classification networks
- decide which CNN paper to read first

## When to choose
- starting to learn image classification and deep learning
- looking for a chronological survey of classification architectures
- wanting links to papers plus their code

## When to avoid
- needing a runnable library or tool
- seeking state-of-the-art results after 2022
- working on tasks other than image classification

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: deep-learning, computer-vision, documentation
- domain: deep-learning, computer-vision, image-processing, tutorials, awesome-lists
- platform: cross-platform
- tags: awesome-list, image-classification, papers, curated-list, imagenet, convnets

## Member repositories
- weiaicunzai/awesome-image-classification (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:41.304716+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 2026-08-29T18:46:38.833196+00:00, confidence not recorded.
  - readme: https://github.com/weiaicunzai/awesome-image-classification (fetched 2026-08-28T04:07:41.304716+00:00, sha 0dbc4013d6cb)
- Data as of 2026-08-30T08:39:29.467469+00:00.