Computer Vision, Deep Learning, Explainable Ai, Anomaly Detection, Editors Pick.
have information on the defect types (such as scratch, crack, etc), it’s better to do a stratified split based also on defect types, so train and test parts will contain the same share of items with scratches/cracks. Model Let’s take VGG16 pre-trained on ImageNet, and change its classification head