Lets say we have a data-set of all cats and we have to identify the cat breed based on given test image. As, the two different cat breeds have visual similarity can we use existing networks (VGG, ImageNet, GoogleNet) to solve this problem?
- Should faceNet be applied here? As, the problem is similar to face detection where face characteristics of two different people are same yet it can correctly recognize a person.
- What if with visual similarity in data-set we have only few example of each class? Like for a problem (random) we have good amount of data but for each class we have only few examples.
Is there any model that can be applied here?