**Note: The COVID-Net models provided here are intended to be used as reference models that can be built upon and enhanced as new data becomes available. They are currently at a research stage and not yet intended as production-ready models (not meant for direct clinicial diagnosis), and we are working continuously to improve them as new data becomes available. Please do not use COVID-Net for self-diagnosis and seek help from your local health authorities.**
**Note: The COVID-Net models provided here are intended to be used as reference models that can be built upon and enhanced as new data becomes available. They are currently at a research stage and not yet intended as production-ready models (not meant for direct clinical diagnosis), and we are working continuously to improve them as new data becomes available. Please do not use COVID-Net for self-diagnosis and seek help from your local health authorities.**
**Update 04/15/2020: We released two new models, COVIDNet-CXR Small and COVIDNet-CXR Large, which were trained on a new COVIDx Dataset with both PA and AP X-Rays from Cohen et al, as well as additional COVID-19 X-Ray images from Figure1**
**Recording to webinar on [How we built COVID-Net in 7 days with Gensynth](https://darwinai.news/fny)**
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@@ -153,13 +153,13 @@ COVIDNet-Risk uses the same architecture as the existing COVIDNet - but instead
These are the final results for COVIDNet-CXR Small and COVIDNet-CXR Large.
### COVIDNet-CXR Small
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<imgsrc="assets/cm-covidnetcxr-small.png"alt="photo not available"width="50%"height="50%">
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<em>Confusion matrix for COVIDNet-CXR Small on the COVIDx test dataset.</em>
