Generating training data through image augmentation
An example operation may include one or more of generating a three-dimensional (3D) model of an object via execution of a machine learning model on one or more images of the object, capturing a plurality of snapshots of the 3D model of the object at different angles to generate a plurality of snapsh...
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Main Authors | , , , , |
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Format | Patent |
Language | English |
Published |
30.04.2024
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Subjects | |
Online Access | Get full text |
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Summary: | An example operation may include one or more of generating a three-dimensional (3D) model of an object via execution of a machine learning model on one or more images of the object, capturing a plurality of snapshots of the 3D model of the object at different angles to generate a plurality of snapshot images of the object, fusing a feature into each of the plurality of snapshots to generate a plurality of fused snapshots of the 3D model of the object, and storing the plurality of fused snapshots of the 3D model of the object in memory. |
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Bibliography: | Application Number: US202217676444 |