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:
May. 07, 2024

Filed:

Nov. 17, 2021
Applicant:

Lemon Inc., Grand Cayman, KY;

Inventors:

Jingna Sun, Beijing, CN;

Peibin Chen, Beijing, CN;

Weihong Zeng, Beijing, CN;

Xu Wang, Beijing, CN;

Jing Liu, Los Angeles, CA (US);

Chunpong Lai, Los Angeles, CA (US);

Shen Sang, Los Angeles, CA (US);

Assignee:

Lemon Inc., Grand Cayman, KY;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/46 (2006.01); G06F 18/21 (2023.01); G06F 18/2113 (2023.01); G06F 18/22 (2023.01); G06F 18/2431 (2023.01); G06V 40/16 (2022.01);
U.S. Cl.
CPC ...
G06V 40/172 (2022.01); G06F 18/2113 (2023.01); G06F 18/217 (2023.01); G06F 18/22 (2023.01); G06F 18/2431 (2023.01);
Abstract

A method is provided for evaluating an effect of classifying a fuzzy attribute of an object, the fuzzy attribute referring to an attribute, a boundary between two similar ones of a plurality of categories of which is blurred, wherein the method includes: generating a similarity-based ranked confusion matrix, which comprises: based on similarities of K categories of the fuzzy attribute of the object, ranking the K categories, where K is an integer greater than or equal to 2, generating a K×K all-zero initialization matrix, wherein an abscissa and an ordinate of the initialization matrix respectively represent predicted values and true values of the similarity-based ranked categories of the fuzzy attribute, and based on the true values and the predicted values of the category of the fuzzy attribute for the multiple object samples, updating values of corresponding elements in the initialization matrix; and displaying the similarity-based ranked confusion matrix.


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