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:
Nov. 28, 2023

Filed:

Oct. 07, 2021
Applicant:

Beijing Baidu Netcom Science Technology Co., Ltd., Beijing, CN;

Inventors:

Yue Yu, Beijing, CN;

Xiao Tan, Beijing, CN;

Hao Sun, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06K 9/62 (2022.01); G06N 3/08 (2023.01); G06V 10/94 (2022.01); G06V 20/56 (2022.01); G06F 18/241 (2023.01); G06F 18/2137 (2023.01); G06F 18/214 (2023.01); G06F 18/21 (2023.01); G06V 20/62 (2022.01);
U.S. Cl.
CPC ...
G06V 10/95 (2022.01); G06F 18/2137 (2023.01); G06F 18/2148 (2023.01); G06F 18/2178 (2023.01); G06F 18/241 (2023.01); G06N 3/08 (2013.01); G06V 20/56 (2022.01); G06V 20/625 (2022.01);
Abstract

A method for generating a license plate defacement classification model, a license plate defacement classification method an electronic device and a storage medium, and related to the technical field of artificial intelligence, and specifically, to the technical field of computer vision and the technical field of intelligent transportation are provided. The method for generating a license plate defacement classification model includes: acquiring training data, wherein the training data includes a plurality of annotated vehicle images, annotated content includes information indicating that a license plate is defaced or is not defaced, and the annotated content further includes location information of a license plate area; and training a first neural network by using the training data, to obtain the license plate defacement classification model for predicting whether the license plate in a target vehicle image is defaced. A robust license plate defacement classification model can be obtained by using embodiments.


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