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:

Oct. 13, 2021
Applicant:

Landing Ai, George Town, KY;

Inventors:

Dongyan Wang, San Jose, CA (US);

Gopi Prashanth Gopal, Seattle, WA (US);

Andrew Yan-Tak Ng, Los Altos, CA (US);

Karthikeyan Thiruppathisamy Nathillvar, Fremont, CA (US);

Rustam Hashimov, Menlo Park, CA (US);

Pingyang He, Palo Alto, CA (US);

Dillon Anthony Laird, San Francisco, CA (US);

Yiwen Rong, San Mateo, CA (US);

Alejandro Betancourt, Medellin, CO;

Sanjeev Satheesh, Mountain View, CA (US);

Yu Qing Zhou, Mountain View, CA (US);

Assignee:

Landing AI, Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06N 20/00 (2019.01); G06N 5/04 (2023.01); G06F 18/40 (2023.01); G06F 18/214 (2023.01); G06F 18/21 (2023.01); G06V 10/774 (2022.01); G06V 10/94 (2022.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 18/214 (2023.01); G06F 18/217 (2023.01); G06F 18/41 (2023.01); G06N 5/04 (2013.01); G06V 10/774 (2022.01); G06V 10/945 (2022.01);
Abstract

A process and a system for creating a visual guide for developing training data for a classification of image, where the training data includes images tagged with labels for the classification of the images. A processor may prompt a user to define a framework for the classification. For an initial set of images within the training data, qualified human classifiers are prompted to locate the images within the framework and to tag the images with labels. The processor determines whether the tagged images have consistent labels, and, if so, the processor adds images to the training data. The processor may add the images by providing a visual guide, the visual guide including tagged images arranged according to their locations within the framework their labels, and prompting human classifiers to tag the additional images with labels for the classification, according to the visual guide.


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