System and method for generating training data for computer vision systems based on image segmentation
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United States of America Patent
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Oct 18, 2022
Grant Date -
Oct 8, 2020
app pub date -
Apr 2, 2020
filing date -
Apr 2, 2019
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Abstract
A system and method for training a model using a training dataset. The training dataset can be made up of only real data, only synthetic data, or any combination of synthetic data and real data. The images are segmented to define objects with known labels. The object is pasted onto backgrounds to generated synthetic datasets. The various aspects of the invention include generation of data that is used to supplement or augment real data. Labels or attributes can be automatically added to the data as it is generated. The data can be generated using seed data. The data can be generated using synthetic data. The data can be generated from any source, including the user's thoughts or memory. Using the training dataset, various domain adaptation models can be trained.
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