# xiaobai1217/Awesome-Video-Datasets

Video datasets

Repository: https://github.com/xiaobai1217/Awesome-Video-Datasets
Canonical: https://ross.abutalabs.com/products/awesome-video-datasets
License Family: other
Last push: 2023-03-08T19:08:48+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1984, "days_push": 1274, "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 1659, forks 120 (observed 2026-08-28T04:05:18.319662+00:00)

## What it is
A curated awesome-list of video datasets for computer vision and machine learning research, maintained by the VIS Lab at the University of Amsterdam. It catalogs datasets across dozens of video tasks such as action recognition, video captioning, tracking, and video question answering, with links to papers and homepages.

## Use cases
- find video datasets for action recognition research
- locate benchmark datasets for video understanding
- find datasets for video captioning or video QA
- discover tracking or segmentation video datasets
- compare available video datasets for a new ML project
- find egocentric video datasets

## When to choose
- you need to discover which public video datasets exist for a task
- you want paper and homepage links for video benchmarks
- you are surveying datasets for video ML research

## When to avoid
- you need the actual dataset files or download tooling
- you need a maintained software library rather than a link list
- you need guaranteed up-to-date dataset availability

## Facets
- artifact type: dataset
- maturity: maintenance
- function: computer-vision, video-processing, machine-learning
- domain: computer-vision, machine-learning, awesome-lists
- platform: cross-platform
- tags: awesome-list, video-datasets, curated-list, research, video

## Member repositories
- xiaobai1217/Awesome-Video-Datasets (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:18.319662+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 2026-08-30T03:44:43.456085+00:00, confidence not recorded.
  - readme: https://github.com/xiaobai1217/Awesome-Video-Datasets (fetched 2026-08-28T04:05:18.319662+00:00, sha f19cb399510a)
- Data as of 2026-08-30T08:39:29.467469+00:00.