Edge-based adaptive machine learning for object recognition
US11288551B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 9, 2017 |
| Grant date | Mar 29, 2022 |
| Priority date | — |
| Expiry date | Oct 21, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Examples of techniques for adaptive model training are provided. According to one or more embodiments of the present invention, a computer-implemented method for adaptive model training includes generating, by a processing system, a training instance based at least in part on a plurality of images that match a contextual specification of a target visual domain. The method further includes extracting, by the processing system, objects from one of the plurality of images. The method further includes for each extracted object, generating, by the processing system, a plurality of machine learning model features and label recommendations for a user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.