Invention Grant
- Patent Title: System and method for visual recognition using synthetic training data
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Application No.: US16839059Application Date: 2020-04-02
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Publication No.: US11455495B2Publication Date: 2022-09-27
- Inventor: Sergey Nikolenko , Yashar Behzadi
- Applicant: SYNTHESIS AI, INC.
- Applicant Address: US CA San Francisco
- Assignee: SYNTHESIS AI, INC.
- Current Assignee: SYNTHESIS AI, INC.
- Current Assignee Address: US CA San Francisco
- Agency: Dana Legal Services
- Agent Jubin Dana
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/08 ; G06N3/04 ; G06N20/00

Abstract:
A system and method are disclosed for training a model using a training dataset. The training dataset can include only real data, only synthetic data, or any combination of synthetic data and real data. 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.
Public/Granted literature
- US20200320345A1 SYSTEM AND METHOD FOR VISUAL RECOGNITION USING SYNTHETIC TRAINING DATA Public/Granted day:2020-10-08
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