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 Zhong, Yi Chen, Liu, Tong, Yin, Kun Yan, Yuan, Zhong Fang, Yu, Lu
Format Patent
LanguageEnglish
Published 30.04.2024
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Abstract 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.
AbstractList 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.
Author Liu, Tong
Yin, Kun Yan
Yu, Lu
Zhong, Yi Chen
Yuan, Zhong Fang
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Snippet 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...
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COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
Title Generating training data through image augmentation
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