A convolutional neural network (CNN) can easily predict the class of an object in an image.
Can a CNN distinguish the Pisa Tower from other buildings, or Hagia Sophia from other mosques easily? If it can, how many training images can be sufficient? Do I need thousands of training images of that specific thing to distinguish it?
(This is a term project recommendation about deep neural networks, so I need to understand its feasibility.)