METHOD AND SYSTEM TO AUGMENT IMAGES AND LABELS TO BE COMPATIBLE WITH VARIOUS MACHINE LEARNING MODELS

    公开(公告)号:US20240303975A1

    公开(公告)日:2024-09-12

    申请号:US18179613

    申请日:2023-03-07

    CPC classification number: G06V10/7753 G06V10/46

    Abstract: A method includes obtaining an authentic image of an assembly and a boundary label provided with the authentic image. The boundary label is associated with a selected region of the authentic image depicting a selected object. The method includes generating an augmented image based on the authentic image and an augmentation model employing one or more augmentation parameters, defining a model boundary label on a blank image at a region that correlates with the selected region of the authentic image, generating an augmented blank image based on the one or more augmentation parameters employed for the augmented image, identifying, as an augmented boundary label associated with augmented image, the model boundary label in the augmented blank image, and outputting an augmented image data, wherein the augmented image data incudes data indicative of the augmented image and of the augmented boundary label.

Patent Agency Ranking