Machine Learning, Image Classification, Keras, Diagnosis, Deep Learning.
border detected by dlib to produce the actual images used in training. Several margins were experimented with to see which would allow the network to perform best and a margin of 20%, expanding the image by 40% in height and width (20% on each side), was chosen since it resulted in the best