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Is it built for exact reverse image search or is it able to retrieve semantically similar objects?

Match is built for finding images that visually look similar. It doesn't understand the semantics of the image itself. There's no way to attach keywords, though plain-old-Elasticsearch is pretty good at that.

Does the algorithm generate a binary hash? or does it generates a real valued vector?

I have been using Tensor Flow to build something similar, though its significantly more computationally expensive but can allow you to find semantically related images. I still have to find an optimal encoding scheme for efficient nearest neighbors.

E.g.

https://raw.githubusercontent.com/AKSHAYUBHAT/VisualSearchSe...

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