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Figure 1 COVID-19 Chest X-ray Dataset Initiative

Note: The COVID-19 image data provided here are intended to be used for research purposes only, and we are working continuously to grow this dataset as new data becomes available.

Core COVID-Net Team

  • DarwinAI Corp., Canada and Vision and Image Processing Research Group, University of Waterloo, Canada
    • Linda Wang
    • Alexander Wong
    • Zhong Qiu Lin
    • Paul McInnis
    • Audrey Chung
    • Hayden Gunraj, COVIDNet for CT: Coming soon.
  • Vision and Image Processing Research Group, University of Waterloo, Canada
    • James Lee
  • Matt Ross and Blake VanBerlo (City of London), COVID-19 Chest X-Ray Model: https://github.com/aildnont/covid-cxr
  • Ashkan Ebadi (National Research Council Canada)
  • Kim-Ann Git (Selayang Hospital)
  • Abdul Al-Haimi

We especially thank Figure 1 for their collaboration in compiling this medical data.

We are building this dataset as a part of the COVIDx dataset to enhance our models for COVID-19 detection (COVID-Net) and COVID-19 risk stratification (COVID-RiskNet):

Please see the main COVID-Net repo for details on data extraction and instructions for creating the full COVIDx dataset.

If you would like to contribute COVID-19 x-ray images, please submit them via Figure 1 here. If you have any questions, please contact us at audrey@darwinai.ca and a28wong@uwaterloo.ca or alex@darwinai.ca. Lets all work together to stop the spread of COVID-19!