I was wondering how image classifier networks perform on images that are not photographs. For example, if you were to feed a drawing of a car or a face to an image classifier that was only trained on photos would the network still be able to classify the image correctly?
Furthermore, what if you were to feed more and more abstract drawings into the network. As humans, we are able to recognize objects even in abstract forms (i.e., modern art) but do current image classifiers generalize well enough in order to do this?
Are there any networks that are also trained on artist renditions of objects and not just photographs?