# cbsudux/awesome-human-pose-estimation

A collection of awesome resources in Human Pose estimation.

Repository: https://github.com/cbsudux/awesome-human-pose-estimation
Canonical: https://ross.abutalabs.com/products/awesome-human-pose-estimation
License Family: other
Topics: human-pose-estimation, deep-learning, deep-learning-papers, computer-vision, awesome-list, 2d-human-pose, 3d-human-pose, pose-estimation
Last push: 2022-10-12T12:34:44+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": 2891, "days_push": 1421, "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 2480, forks 404 (observed 2026-08-28T04:06:55.250464+00:00)

## What it is
A curated awesome-list of resources on human pose estimation, including papers, datasets, workshops, blog posts, and popular PyTorch/TensorFlow implementations. It covers both 2D and 3D pose estimation and is aimed at people learning the field.

## Use cases
- find papers on human pose estimation
- learn 2D and 3D pose estimation basics
- find pose estimation datasets
- find open-source pose estimation implementations
- track recent deep learning pose estimation research
- get started with computer vision pose estimation

## When to choose
- you want a curated reading list of pose estimation papers and code
- you are learning human pose estimation from scratch
- you need links to datasets and reference implementations

## When to avoid
- you need a ready-to-run pose estimation model or library
- you need actively maintained code rather than a resource list
- you need non-pose computer vision topics

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: computer-vision, deep-learning
- domain: computer-vision, deep-learning, tutorials
- platform: cross-platform
- tags: awesome-list, human-pose-estimation, pose-estimation, papers, datasets, 2d-pose, 3d-pose

## Member repositories
- cbsudux/awesome-human-pose-estimation (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:55.250464+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 2026-08-30T02:28:15.670929+00:00, confidence not recorded.
  - readme: https://github.com/cbsudux/awesome-human-pose-estimation (fetched 2026-08-28T04:06:55.250464+00:00, sha 68bfa4e2b36c)
- Data as of 2026-08-30T08:39:29.467469+00:00.