Reinforcement machine learning for item detection
Abstract:
Images of an unknown item picked from a store are tracked, the unknown item is identified during checkout and associated with a specific item having a specific item description. The images and the specific item description are obtained by a machine-learning item detector and processed during a machine-learning training session to subsequently identify the item when subsequent item images are taken for the item for subsequent transactions at the store.
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