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:
Aug. 11, 2026

Filed:

Oct. 19, 2023
Applicant:

Korea University Research and Business Foundation, Seoul, KR;

Inventors:

Jin Kyu Kim, Seoul, KR;

Yu Jin Jeong, Seoul, KR;

Seong Beom Park, Hwaseong-si, KR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 10/764 (2022.01); G06F 16/35 (2025.01); G06F 18/24 (2023.01); G06F 40/10 (2020.01); G06F 40/279 (2020.01); G06N 3/02 (2006.01); G06N 3/045 (2023.01); G06N 3/0455 (2023.01); G06N 3/08 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06V 10/70 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06V 30/19 (2022.01); G06V 30/413 (2022.01); G06V 40/16 (2022.01);
U.S. Cl.
CPC ...
G06V 10/764 (2022.01); G06F 16/35 (2019.01); G06F 18/24 (2023.01); G06F 40/10 (2020.01); G06F 40/279 (2020.01); G06N 3/02 (2013.01); G06N 3/045 (2023.01); G06N 3/0455 (2023.01); G06N 3/08 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06V 10/70 (2022.01); G06V 10/809 (2022.01); G06V 10/811 (2022.01); G06V 10/82 (2022.01); G06V 30/19173 (2022.01); G06V 30/413 (2022.01); G06V 40/172 (2022.01);
Abstract

Disclosed is an apparatus for classifying immoral images according to one embodiment of the present invention, comprising: a text encoder unit that receives a learning text as an input to create a textual embedding vector; an image encoder unit that receives an image as an input to create a visual embedding vector; and a morality classification unit that receives either the textual embedding vector or the visual embedding vector as an input to create and output a classification result indicating whether the input text or image is moral or immoral, wherein the morality classification unit learns the classification results of the input learning texts only from a learning dataset containing a plurality of learning texts in which whether each learning text is moral or immoral is mapped to a binary class.


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Kim, Jin. (2026). Apparatus and method for classifying immoral images using deep learning technology (U.S. Patent No. 12705863). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12705863

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