Ross ROSS = Recommend OSS · open-source software intelligence for agents

openmedlab/Awesome-Medical-Dataset resource

Collection of awesome medical dataset resources. observed · 2026-08-28

github.com/openmedlab/Awesome-Medical-Dataset observed · 2026-08-28

Health v2 · maintenance only

27/100

  • Activity 3
  • Release rhythm 35
  • Longevity 68

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 957
  • days_rel: n/a
  • days_push: 587
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2095 stars · 202 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list cataloging publicly available medical datasets, covering medical imaging (CT, MRI, endoscopy, retina, skin, microscopy), image-text pairs, and electronic health record text data, organized by anatomical region. It also links to dataset platforms, evaluation benchmarks, related SOTA methods, and foundation toolbox projects for medical AI research.

Use cases

  • find public medical imaging datasets for training models
  • find CT and MRI segmentation datasets with organ annotations
  • locate electronic health record datasets for healthcare research
  • benchmark datasets for medical image segmentation challenges
  • curated list of medical NLP and image-text datasets
  • datasets for radiology, pathology, or ophthalmology research
  • where to find openly available medical datasets for machine learning

When to choose

  • you want a single curated index of medical datasets browsable by anatomy or modality
  • you are surveying available public data before starting a healthcare ML project
  • you need links to official dataset websites, release dates, and challenge pages

When to avoid

  • you need a tool to download, host, or manage datasets rather than a link collection
  • you need the actual medical data itself, which lives in external repositories
  • you need executable code or pipelines for data preprocessing

Facets

learning-resource · maturity active

documentation data-science machine-learning healthcare awesome-lists machine-learning data-science computer-vision awesome-list medical-imaging datasets electronic-health-records segmentation open-data benchmarks curated-list natural-language-processing

1 source

Member repositories

RepositoryRoleHealth v2
openmedlab/Awesome-Medical-Datasetmain27

For agents

markdown · JSON · MCP: product_card(name="openmedlab/Awesome-Medical-Dataset")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem