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If you're looking to train your neural net for a specific narrow category, then you cannot beat something like tensorflow and training it yourself (and it's very easy: https://www.tensorflow.org/versions/master/how_tos/image_ret...). If you want a general image classifier (most people dont) then you'd probably want to use a service.

I regularly benchmark all image captioning approach, but human captioning is still WAY better (see http://www.cloudsightapi.com/api, scroll down for demo)

and probably way more expensive? But yeah, i have never seen a more accurate captioning for images yet

I think you might be interested in SemanticMD. http://www.semantic.md/

We provide a medical image analysis platform. I work at SemanticMD.

https://www.imageidentify.com/ (by Wolfram)

I recently used indico.io for a project, and I'm a huge fan of what they offer.

From my brief interactions, they seem like awesome people too.