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Face Mask detection built using PyTorch specifically CNN having an accuracy of 98%.

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Face Mask Detection

About Project

Face Mask Detection built with PyTorch using Deep Learning specifically CNN have an accuracy of 98.04% trained on a custom architecture. It can even detect multiple faces with or without mask in a single image.

📁 Dataset

The dataset used can be downloaded from here - Kaggle. Dataset is divided into two folder labeled 'with_mask' and 'without_mask' having around 3725 and 3828 images respectively.

🔑 Results

Our model gave 98.04% training accuracy for Face Mask Detection.

Below is the curve plot of Training Loss we got during training the model.

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Face Mask detection built using PyTorch specifically CNN having an accuracy of 98%.

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