Invention Grant
- Patent Title: Object detection improvement based on autonomously selected training samples
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Application No.: US16854768Application Date: 2020-04-21
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Publication No.: US11610080B2Publication Date: 2023-03-21
- Inventor: Brandon Northcutt , Katarina Bouma , Kevin Stone , Konstantine Mushegian
- Applicant: TOYOTA RESEARCH INSTITUTE, INC.
- Applicant Address: US CA Los Altos
- Assignee: TOYOTA RESEARCH INSTITUTE, INC.
- Current Assignee: TOYOTA RESEARCH INSTITUTE, INC.
- Current Assignee Address: US CA Los Altos
- Agency: Seyfarth Shaw LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/08

Abstract:
A method for generating positive and negative training samples is presented. The method includes identifying false positive images of an object based on multiple images of an environment. The method also includes generating positive training samples from a set of images of the object. The method further includes generating a negative training sample from the false positive image. The method still further includes training an object detection system based on the positive training samples and the negative training sample.
Public/Granted literature
- US20210326651A1 OBJECT DETECTION IMPROVEMENT BASED ON AUTONOMOUSLY SELECTED TRAINING SAMPLES Public/Granted day:2021-10-21
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