lindawangg/COVID-Net resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1167 stars · 471 forks observed · 2026-08-28

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

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

dataset · maturity maintenance

machine-learning deep-learning image-processing computer-vision data-science healthcare machine-learning computer-vision image-processing python cross-platform covid-19 chest-xray medical-imaging radiography classification research-models jupyter-notebooks

Member repositories

For agents

markdown · JSON · MCP: product_card(name="lindawangg/COVID-Net")