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An image classification model to detect Faces with Properly worn Nose Mask, Faces with Improperly worn Face Masks and Faces without Face Mask.

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Face-Mask-Recognition-Model-Pytorch

An image classification model to detect Faces with Properly worn Nose Mask, Faces with Improperly worn Face Masks and Faces without Face Mask.

The Dataset can be accessed in https://drive.google.com/drive/folders/1IvMClQZ7U4zjN89w-XYSWa7AXZGIE_4g?usp=sharing

Usage

Each folder contains images named as with the following preceding names:

masked:

images of faces wearing masks

incorrectly_masked:

Images of faces with incorrectly worn face mask

no_mask :

images of faces not wearing masks

Depending on your purpose, you can split the data into non-masked vs masked images by checking for the term "no_mask" on the name of the file. All the files containing this term will be non-masked images and the rest should be masked ones.

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An image classification model to detect Faces with Properly worn Nose Mask, Faces with Improperly worn Face Masks and Faces without Face Mask.

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