# lindawangg/COVID-Net

COVID-Net Open Source Initiative

Repository: https://github.com/lindawangg/COVID-Net
Canonical: https://ross.abutalabs.com/products/covid-net
Language: Jupyter Notebook
License: NOASSERTION
License Family: other
Topics: coronavirus, coronavirus-dataset, coronavirus-detect, chest-radiography, covid-net, covidx-dataset, covid-19, sars-cov-2
Last push: 2026-03-20T16:10:15+00:00

## Health v2 (maintenance only)
Score: 65/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 73, release rhythm 35, longevity 100
- inputs: {"age_days": 2359, "days_push": 166, "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 1167, forks 471 (observed 2026-08-28T04:03:50.724607+00:00)

## What it is
COVID-Net Open Source Initiative: deep learning models and the COVIDx chest X-ray datasets for COVID-19 detection and severity grading from radiography images. It provides reference research models (not clinically validated) along with dataset curation scripts in Jupyter Notebooks.

## Use cases
- detect covid-19 from chest x-ray images
- train a pneumonia classification model on chest radiographs
- download a large covid chest x-ray dataset
- grade severity of lung involvement in covid patients
- build a medical image classification research project
- reproduce covid-net model training and evaluation

## When to choose
- you need a large curated chest X-ray dataset for COVID-19 research
- you want reference deep learning models for radiography classification to build upon
- you are studying medical imaging model architectures like MEDUSA

## When to avoid
- you need a production or clinically validated diagnostic tool
- you require a permissively licensed model for commercial deployment (license is non-standard)
- your task is unrelated to chest radiography or COVID-19

## Facets
- artifact type: dataset
- maturity: maintenance
- function: machine-learning, deep-learning, image-processing, computer-vision, data-science
- domain: healthcare, machine-learning, computer-vision, image-processing
- platform: python, cross-platform
- tags: covid-19, chest-xray, medical-imaging, radiography, classification, research-models, jupyter-notebooks

## Member repositories
- lindawangg/COVID-Net (main) score 65

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:50.724607+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 2026-08-30T06:28:51.988224+00:00, confidence not recorded.
  - readme: https://github.com/lindawangg/COVID-Net (fetched 2026-08-28T04:03:50.724607+00:00, sha 22bab3ec1869)
- Data as of 2026-08-30T08:39:29.467469+00:00.