Invention Grant
- Patent Title: System and method for actively selecting and labeling images for semantic segmentation
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Application No.: US15623323Application Date: 2017-06-14
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Publication No.: US10762635B2Publication Date: 2020-09-01
- Inventor: Zhipeng Yan , Zehua Huang , Pengfei Chen , Panqu Wang
- Applicant: TuSimple, Inc.
- Applicant Address: US CA San Diego
- Assignee: TUSIMPLE, INC.
- Current Assignee: TUSIMPLE, INC.
- Current Assignee Address: US CA San Diego
- Agent Paul Liu; Jim Salter
- Main IPC: G06K9/34
- IPC: G06K9/34 ; G06K9/62 ; G06T7/11 ; G06T7/143

Abstract:
A system and method for actively selecting and labeling images for semantic segmentation are disclosed. A particular embodiment includes: receiving image data from an image generating device; performing semantic segmentation or other object detection on the received image data to identify and label objects in the image data and produce semantic label image data; determining the quality of the semantic label image data based on prediction probabilities associated with regions or portions of the image; and identifying a region or portion of the image for manual labeling if an associated prediction probability is below a pre-determined threshold.
Public/Granted literature
- US20180365835A1 SYSTEM AND METHOD FOR ACTIVELY SELECTING AND LABELING IMAGES FOR SEMANTIC SEGMENTATION Public/Granted day:2018-12-20
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