The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 17, 2023

Filed:

Jan. 05, 2021
Applicant:

Advanced New Technologies Co., Ltd., Grand Cayman, KY;

Inventor:

Juan Xu, Hangzhou, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/46 (2022.01); G06T 7/11 (2017.01); G06F 18/214 (2023.01); G06F 18/2413 (2023.01); G06V 10/10 (2022.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06V 10/778 (2022.01); G06V 20/10 (2022.01);
U.S. Cl.
CPC ...
G06V 10/462 (2022.01); G06F 18/2155 (2023.01); G06F 18/24137 (2023.01); G06T 7/11 (2017.01); G06V 10/17 (2022.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06V 10/7784 (2022.01); G06V 20/10 (2022.01); G06T 2207/10004 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30252 (2013.01);
Abstract

An embodiment provides a system and method for sample labeling. During operation, the system obtains a plurality of historical loss assessment images and obtains a plurality of candidate samples from the plurality of loss assessment images. A respective candidate sample comprises an image of a candidate damage area detected in a corresponding historical loss assessment image. The system clusters the plurality of candidate samples into a plurality of class clusters. For a respective class cluster, the system determines a center candidate sample set corresponding to a class cluster center of the respective class cluster, receives a manual labeling result associated with candidate samples in the determined center candidate sample set, and performs, according to the manual labeling result, damage classification labeling on other unlabeled candidate samples in the respective class cluster to obtain a plurality of labeled samples.


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