# zhjohnchan/awesome-image-captioning

A curated list of image captioning and related area resources. :-)

Repository: https://github.com/zhjohnchan/awesome-image-captioning
Canonical: https://ross.abutalabs.com/products/awesome-image-captioning
License Family: other
Last push: 2023-03-28T09:36:40+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": 2939, "days_push": 1254, "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 1067, forks 177 (observed 2026-08-28T04:03:27.304842+00:00)

## What it is
A curated awesome-list of image captioning resources, including papers organized by year and venue, datasets, challenges, and popular code implementations in PyTorch, TensorFlow, and Torch. It serves as a research reference index rather than a runnable software tool.

## Use cases
- find research papers on image captioning
- discover datasets for training image captioning models
- find open-source implementations of image captioning models
- survey the history of image captioning research from 2011 to 2020
- locate vision-and-language pre-training resources

## When to choose
- you need a starting point for academic research on image captioning
- you want a quick index of datasets and reference implementations
- you are surveying vision-language research literature

## When to avoid
- you need a production-ready image captioning library or model
- you need up-to-date coverage of recent transformer-era captioning work
- you want runnable code rather than a link collection

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, nlp, computer-vision, documentation
- domain: machine-learning, computer-vision, artificial-intelligence, awesome-lists
- platform: cross-platform
- tags: awesome-list, image-captioning, curated-list, research-papers, vision-language, multimodal, natural-language-processing

## Member repositories
- zhjohnchan/awesome-image-captioning (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:27.304842+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 2026-08-30T06:55:13.081315+00:00, confidence not recorded.
  - readme: https://github.com/zhjohnchan/awesome-image-captioning (fetched 2026-08-28T04:03:27.304842+00:00, sha 6cb9b5122229)
- Data as of 2026-08-30T08:39:29.467469+00:00.