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In this guided project, we used a ResNet-18 model and trained it on a COVID-19 Radiography dataset. The dataset had nearly 3000 Chest X-Ray scans which were categorized in three classes - Normal, Viral Pneumonia and COVID-19. Our objective in the project was to create an image classification model that can predict Chest X-Ray scans that belong to one of the three classes with a reasonably high accuracy.

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