Item identification among a variant of items

This is a computer system that looks at pictures of objects to figure out what they are. It first identifies the general kind of object by comparing features from the picture to a stored collection of information. If there are many versions of that object, it then looks for specific details like its shape, color, logo, or text to pinpoint the exact version.

Why it matters: Filed before current deep learning models. Identifying subtle distinctive features for variants is now more accurate and efficient.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, image processing, machine learning

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