ConvNET can easily predict class of an object in an image. My question is, can ConvNET distinguish Pisa Tower from other buildings or Hagia Sophia from other mosquoes 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.)