[D] Best approach to fine-classification of image objects?
I’m basically looking to make a classifier that gives a binary (yes/no) response to an image’s subject matching my model. For example let’s say I wanted it to match copperhead snakes and only copperhead snakes. Is there a good cloud solution for this?
I tried AWS Rekognition but it wanted a minimum of 2 labels and I felt the results wouldn’t be good enough after doing a test run with ~120 images. I know that’s relatively small but don’t want to waste time/money with a cloud solution if it won’t get me there.
Will Google Vision have better results? Would I need to roll my own solution in Python? Or is it unrealistic for a novice solution to tell one type of snake from another?