US 11,790,270 B2
User-generated visual guide for the classification of images
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); and Yu Qing Zhou, Mountain View, CA (US)
Assigned to Landing AI, Palo Alto, CA (US)
Filed by Landing AI, George Town (KY)
Filed on Oct. 13, 2021, as Appl. No. 17/500,784.
Application 17/500,784 is a continuation of application No. 16/669,170, filed on Oct. 30, 2019, granted, now 11,182,646.
Claims priority of provisional application 62/906,720, filed on Sep. 27, 2019.
Prior Publication US 2022/0277171 A1, Sep. 1, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. 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)
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)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for developing training data for a classification of images, the training data comprising images tagged with labels for the classification of the images, the method comprising:
prompting a user to define a framework for the classification, the framework, when defined, including example images that are each paired with one or more example labels;
prompting qualified human classifiers to tag an initial set of images within the training data with labels for the classification based on the example labels within the framework; and
adding the tagged images to the training data, wherein the training data is used to train a machine learning model to automatically tag further images with labels according to the framework.