I was wondering how I can develop a Machine Learning algorithm that has as a train dataset some images (e.g. photos of animals associated with the species) and as a test dataset other images (e.g. photos of other animals to be assigned the species class).
I can develop an algorithm from a dataset composed of data, but I don't know where to start having images. Could someone give me some suggestions?