Invention Grant
- Patent Title: User-generated visual guide for the classification of images
-
Application No.: US16669170Application Date: 2019-10-30
-
Publication No.: US11182646B2Publication Date: 2021-11-23
- Inventor: Dongyan Wang , Gopi Prashanth Gopal , Andrew Yan-Tak Ng , Karthikeyan Thiruppathisamy Nathillvar , Rustam Hashimov , Pingyang He , Dillon Anthony Laird , Yiwen Rong , Alejandro Betancourt , Sanjeev Satheesh , Yu Qing Zhou
- Applicant: Landing AI
- Applicant Address: KY Ugland House
- Assignee: Landing AI
- Current Assignee: Landing AI
- Current Assignee Address: KY Ugland House
- Agency: Fenwick & West LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N20/00 ; G06N5/04

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.
Public/Granted literature
- US20210097337A1 USER-GENERATED VISUAL GUIDE FOR THE CLASSIFICATION OF IMAGES Public/Granted day:2021-04-01
Information query