User-generated visual guide for the classification of images

• Main Authors: Zhou, Yu Qing, Wang, Dongyan, Hashimov, Rustam, Gopal, Gopi Prashanth, Ng, Andrew Yan-Tak, Nathillvar, Karthikeyan Thiruppathisamy, He, Pingyang, Betancourt, Alejandro, Laird, Dillon Anthony, Satheesh, Sanjeev, Rong, Yiwen
• Format: Patent
• Language: English
• Published: 17.10.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

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.