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[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?

submitted by /u/TRAINS_CHOOCHOO
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.