SYSTEMS AND METHODS FOR ANALYZING AND LABELING IMAGES IN A RETAIL FACILITY

    公开(公告)号:US20240257047A1

    公开(公告)日:2024-08-01

    申请号:US18161788

    申请日:2023-01-30

    CPC classification number: G06Q10/087 G06V10/762

    Abstract: In some embodiments, apparatuses and methods are provided herein useful to processing captured images. In some embodiments, there is provided a system for processing captured images of objects including a memory and a control circuit executing a trained machine learning model. The memory may be configured to store a plurality of images comprising first images and second images. The control circuit may be configured to: allocate each of the first images into one of a plurality of datasets; cluster each image in the dataset into one of a plurality of groups; select a sample from at least one of the plurality of groups; cluster each of the second images into one of dominant product identifier group and a non-dominant product identifier group; select a sample from the dominant product identifier group and a sample from the non-dominant product identifier group; and output the selected sample.

    SYSTEMS AND METHODS FOR REDUCING FALSE IDENTIFICATIONS OF PRODUCTS

    公开(公告)号:US20240273463A1

    公开(公告)日:2024-08-15

    申请号:US18168174

    申请日:2023-02-13

    CPC classification number: G06Q10/087 G06V10/7715 G06V30/1444 G06V2201/07

    Abstract: In some embodiments, apparatuses and methods are provided herein useful to processing captured images. In some embodiments, there is provided a system for processing captured images of objects at a product storage facility including a trained machine learning model; and a control circuit. The control circuit may identify a product identifier associated with an object in a captured image; generate predicted product identifiers associated with the object in the captured image based on text identified from the object in the captured image; aggregate the predicted product identifiers; determine a feature of the objects associated with the aggregated predicted product identifiers; determine one or more confusing product identifiers based on a determination of the aggregated predicted product identifiers being associated with the feature; and update a dataset with at least one of the one or more confusing product identifiers and images associated with the one or more confusing product identifiers.

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