This is the repor for Fall 2020 CMPE 257 instructed by professor Mahima Agumbe Suresh.

In each folder, every individual's work could be found.

• Yathu. implemented Resnet34 with FastAI.
• Rajeev implemented Resnet50 with PyTorch.
• Aayushi did classification with Convolutional neural network.
• Sean did classification using vanilla neural network.

LAYOUT.txt: this is the layout of the training dataset from with/without mask repo.
Three data repositories are being used in this project:
https://www.kaggle.com/niharika41298/withwithout-mask
https://www.kaggle.com/andrewmvd/face-mask-detection/download
https://www.kaggle.com/ashishjangra27/face-mask-12k-images-dataset