MACHINE LEARNING BASED MODELS FOR OBJECT RECOGNITION

    公开(公告)号:US20220114394A1

    公开(公告)日:2022-04-14

    申请号:US17558416

    申请日:2021-12-21

    Abstract: Machine learning based models recognize objects in images. Specific features of the object are extracted from the image using machine learning based models. The specific features extracted from the image assist deep learning based models in identifying subtypes of a type of object. The system recognizes the objects and collections of objects and determines whether the arrangement of objects violates any predetermined policies. For example, a policy may specify relative positions of different types of objects, height above ground at which certain types of objects are placed, or an expected number of certain types of objects in a collection.

    Machine learning based models for object recognition

    公开(公告)号:US11210562B2

    公开(公告)日:2021-12-28

    申请号:US16751078

    申请日:2020-01-23

    Abstract: Machine learning based models recognize objects in images. Specific features of the object are extracted from the image using machine learning based models. The specific features extracted from the image assist deep learning based models in identifying subtypes of a type of object. The system recognizes the objects and collections of objects and determines whether the arrangement of objects violates any predetermined policies. For example, a policy may specify relative positions of different types of objects, height above ground at which certain types of objects are placed, or an expected number of certain types of objects in a collection.

    MACHINE LEARNING BASED MODELS FOR OBJECT RECOGNITION

    公开(公告)号:US20210150273A1

    公开(公告)日:2021-05-20

    申请号:US16751078

    申请日:2020-01-23

    Abstract: Machine learning based models recognize objects in images. Specific features of the object are extracted from the image using machine learning based models. The specific features extracted from the image assist deep learning based models in identifying subtypes of a type of object. The system recognizes the objects and collections of objects and determines whether the arrangement of objects violates any predetermined policies. For example, a policy may specify relative positions of different types of objects, height above ground at which certain types of objects are placed, or an expected number of certain types of objects in a collection.

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