Automatic image selection for online product catalogs
US11699101B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 3, 2021 |
| Grant date | Jul 11, 2023 |
| Priority date | — |
| Expiry date | Sep 15, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/045
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are systems, methods, and non-transitory computer-readable media for automatic image selection for online product catalogs. An image selection system gathers feature data for images of an item included in listings posted to an online marketplace. The image selection system uses the feature data as input in a machine learning model to determine probability scores indicating an estimated probability that each image is suitable to represent the item. The machine learning model is trained based on a set of training images of the item that have been labeled to indicate whether they are suitable to represent the image. The image selection system compares the probability scores and selects an image to represent the item as a stock image based on the comparison.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.