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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Bibliographic Details
Main Authors Zhong, Yi Chen, Liu, Tong, Yin, Kun Yan, Yuan, Zhong Fang, Yu, Lu
Format Patent
LanguageEnglish
Published 30.04.2024
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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.
Bibliography:Application Number: US202217676444