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I was asked to verify the feasibility for solving a particular problem: recognizing for a fashion brand the model of its products.

I have little experience with image recognition in general, I always used Google Vision Api or some pre trained nets from Google/tensorflow like the VGG-16.

I am wondering: Do you think this level of granularity can be achieved?

I guess I should for example train the last layer of a pre-trained network, but I need many images to do that.

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Maybe.

Do they have a unique feature on the item (e.g. a polo player, a red sole) the model can be trained on? I have seen people try identifying clothing model from images via Google's Vision API and it didn't work well. If you are in a fashion category where the business model is to copy designs like H&M or Zara do, you're likely going to have trouble.

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