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Problem StatementThis model was built with the aim to help prevent the spread of Coronavirus. As many countries continue... moreProblem StatementThis model was built with the aim to help prevent the spread of Coronavirus. As many countries continue their desperate fight to control the infection rate and spread of the virus, we have seen the integration of many unfamiliar; and somewhat inconvenient, protection measures being introduced into society over the past year. One of these particular measures is the mandatory requirement of wearing a protective face mask in shops, cafes, restaurants, and other compact or enclosed social environments. Objective This project looks at automating the task of checking whether someone is wearing a protective mask or not using computer vision and deep learning algorithms.Data DescriptionThis dataset contains 853 images belonging to 3 classes, and their bounding boxes in the PASCAL VOC format. The classes are:
With mask-298 images
Without mask - 466 images
Mask worn incorrectly - 89 images
How to use the model?First, choose the file you want to predict.Press submit.Voila! You can see your output now!What are the evaluation metrics used?Loss is nothing but a prediction error of Neural Net. And the method to calculate the loss is called Loss Functionlearning rate affects how quickly our model can converge to local minima (aka arrive at the best accuracy).For a more detailed explanation of the model, you can click here or go to the Model Overview section. less
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