Invention Grant
- Patent Title: Automated training data collection for object detection
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Application No.: US16939698Application Date: 2020-07-27
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Publication No.: US11600085B2Publication Date: 2023-03-07
- Inventor: Florian Pinel , Russell Patrick Bobbitt , Sharon Laquinta Cham
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent James L. Olsen
- Main IPC: G06V20/64
- IPC: G06V20/64 ; G06Q30/06 ; G06T11/20 ; G06V20/00 ; G06Q30/0601

Abstract:
A method, system, and computer program product for automated collection of training data and training object detection models is provided. The method generates a set of reference images for a first set of products. Based on the set of reference images, the method identifies a subset of products within an image stream. Based on the subset of products, a second set of products is determined within the image stream. The method identifies a set of product gaps based on the subset of products and the second set of products. The method generates a product detection model based on the set of reference images, the subset of products, the second set of products, and the product gaps.
Public/Granted literature
- US20220027599A1 AUTOMATED TRAINING DATA COLLECTION FOR OBJECT DETECTION Public/Granted day:2022-01-27
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