Invention Grant
- Patent Title: Method and systems for providing synthetic labeled training datasets and applications thereof
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Application No.: US17927839Application Date: 2021-05-14
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Publication No.: US11756189B2Publication Date: 2023-09-12
- Inventor: Simon Hergenröder , Maximilian Metzner , Sören Weissert
- Applicant: Siemens Aktiengesellschaft
- Applicant Address: DE Munich
- Assignee: Siemens Aktiengesellschaft
- Current Assignee: Siemens Aktiengesellschaft
- Current Assignee Address: DE Munich
- Agency: Henry M. Feiereisen LLC
- Priority: EP 176860 2020.05.27
- International Application: PCT/EP2021/062809 2021.05.14
- International Announcement: WO2021/239476A 2021.12.02
- Date entered country: 2022-11-25
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06V10/774 ; G06V10/82 ; G06V20/70 ; G06T7/73 ; G06T7/00

Abstract:
A computer-implemented method and system provides a labelled training dataset. At least one sub-object or component is selected in a CAD model of an object comprising a plurality of sub-objects or components. A plurality of different render images is generated and the different render images contain the at least one selected sub-object or component. The different render images are labelled on the basis of the CAD model to provide a training dataset based on the labelled render images. Also, a computer-implemented method provides a trained function that is trained on the training dataset. A computer-implemented image recognition method uses such the trained function. An image recognition system comprising an image capture device and a data processing system carries out the image recognition method. A computer program comprises instructions that cause the system to carry out the methods.
Public/Granted literature
- US20230196734A1 METHOD AND SYSTEMS FOR PROVIDING SYNTHETIC LABELED TRAINING DATASETS AND APPLICATIONS THEREOF Public/Granted day:2023-06-22
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