In order to train a custom face mask detector, we need to break our project into two distinct phases, each with its own respective sub-steps (as shown by Figure 1 above): 1- Training: Here we’ll focus ...

All 853 images were manually annotated using labelimg, two labels were used to classify the images, "Mask" and "No Mask". The dataset containing the images and labels was split into train/test/val ...