I have a dataset of images that represent the surface condition of metals that undergoes friction . In the Images there are a lot of particles resulting from that friction a,d I wish to train a CNN model to predict the friction coeffcient based on the images .What I want to know is that Can I add a channel to the Input image that contains statistical informations about the particles ? ( distribution , size , roundness ..etc ) ? Thank you ! I tried classic CNN and want a more performing model Continue reading...