Toshiba Global Commerce Solutions Holdings Corporation

Brian C Young

Adrian Xavier Rodriguez

Jonathan M Waite

Dean Frederick Herring

Brad Matthew Johnson

Bruno Roy

The present disclosure provides techniques for data curation and image evaluation. A first image is captured, and a first indication of a first item is received. A first identifier of the first item is then identified based on the first indication. Further, based on the first indication, it is determined that the first image depicts the first item. The first image is labeled with the first identifier, and a machine learning (ML) model of an ML system is trained based on the labeled first image.

Automated image curation for machine learning deployments

Method of processing video data in a retail information processing system can include recognizing an object within a video data feed to provide a recognized object within a retail environment. A context for the recognized object can be determined and a plurality of possible actions can be provided on an electronic display to an administrator of the retail information processing system, where the plurality of possible actions limited to only actions taken in the context for the recognized object. A selection from among the plurality of possible actions to be taken in the context for the recognized object can be received to provide a selected action relative to the recognized object.

Methods and systems providing actions related to recognized objects in video data to administrators of a retail information processing system and related articles of manufacture

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Durham, NC, United States of America

Brian C Young