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I highly suggest using a one-shot learning model like DeepFace. It works with just one photograph and you can use its verify function to get if it’s a match or not by comparing two images. It will have to iterate to compare each known face with the unknown image until it gets a match, but I imagine it will be better financially and efficiently than running thousands of jobs for Azure.
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