# ieee8023/covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

Repository: https://github.com/ieee8023/covid-chestxray-dataset
Canonical: https://ross.abutalabs.com/products/covid-chestxray-dataset
Language: Jupyter Notebook
License Family: other
Topics: covid-19, deep-learning, computer-vision, dataset, xray, computed-tomography
Last push: 2022-08-18T04:01:08+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2392, "days_push": 1476, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3061, forks 1279 (observed 2026-08-28T04:07:41.170458+00:00)

## What it is
An open, publicly curated dataset of chest X-ray and CT images from patients positive or suspected of COVID-19 and other viral/bacterial pneumonias (MERS, SARS, ARDS), with metadata and hierarchical labels. It includes a dataloader example and is designed for medical imaging research rather than model benchmarking.

## Use cases
- train a deep learning model on covid chest x-rays
- find ct images of covid-19 patients for research
- build a pneumonia classification dataset
- study differences between covid and other viral pneumonias on imaging
- get labeled x-ray data with patient metadata
- evaluate medical imaging models responsibly

## When to choose
- you need real chest X-ray/CT images of COVID-19 and related pneumonias with labels and metadata
- you are doing medical imaging research and want an ethically approved open dataset
- you want data compatible with torchxrayvision dataloaders

## When to avoid
- you want a large benchmark dataset for leaderboard-style model competitions
- you need clinically validated diagnostic performance claims
- you need an actively growing dataset - updates have slowed since 2022

## Facets
- artifact type: dataset
- maturity: maintenance
- function: machine-learning, computer-vision, data-science
- domain: healthcare, machine-learning, computer-vision, data-science
- platform: cross-platform, python
- tags: covid-19, medical-imaging, chest-xray, ct-scans, open-dataset, pneumonia, radiology

## Member repositories
- ieee8023/covid-chestxray-dataset (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:41.170458+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 2026-08-30T07:28:19.967838+00:00, confidence not recorded.
  - readme: https://github.com/ieee8023/covid-chestxray-dataset (fetched 2026-08-28T04:07:41.170458+00:00, sha a0ef26593c0f)
- Data as of 2026-08-30T08:39:29.467469+00:00.