COVID-19: Face Mask Detector with OpenCV (Assignment Sample 2)
by Ameerun Muzaffar
BSc Computer Science Year 3
CVBPR S1 08
CSE 3093Y Assignment March 2021
This project uses OpenCV, TensorFlow, Keras and Deep Learning to detect if a Face mask is present on a face.
Dataset:
The Deep Learning algorithm was trained using a dataset made of separated pictures of face with masks and faces without masks. The pictures without face masks have a face mask edited onto the pictures, this was done due to the limited availability of pictures of human faces with face masks. The faces with edited masks are not in the dataset of faces without mask.
The dataset is made up of 1376 images of which 690 are images of faces with masks, and 686 are of faces without masks.
