Invention Grant
- Patent Title: Automated generation of pre-labeled training data
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Application No.: US16258037Application Date: 2019-01-25
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Publication No.: US10937167B2Publication Date: 2021-03-02
- Inventor: Rob Liston , John G. Apostolopoulos
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Cisco Technology, Inc.
- Current Assignee: Cisco Technology, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Edell, Shapiro & Finnan, LLC
- Main IPC: G06T7/11
- IPC: G06T7/11 ; G06T7/194 ; G06T11/60 ; G06T11/00

Abstract:
Presented herein are techniques for automatically generating object segmentation training data. In particular, a segmentation data generation system is configured to obtain training images derived from a scene captured by one or more image capture devices. Each training image is a still image that includes a foreground object and a background. The segmentation data generation system automatically generates a mask of the training image to delineate the object from the background and, based on the mask automatically generates a masked image. The masked image includes only the object present in the training image. The segmentation data generation system composites the masked image with an image of an environmental scene to generate a composite image that includes the masked image and the environmental scene.
Public/Granted literature
- US20190156487A1 AUTOMATED GENERATION OF PRE-LABELED TRAINING DATA Public/Granted day:2019-05-23
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