Ensemble model for image recognition processing
US10997468B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 24, 2020 |
| Grant date | May 4, 2021 |
| Priority date | — |
| Expiry date | Feb 24, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/35
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Non-limiting examples described herein relate to ensemble model processing for image recognition that improves precision and recall for image recognition processing as compared with existing solutions. An exemplary ensemble model is configured enhance image recognition processing through aggregate data modeling processing that evaluates image recognition prediction results obtained through processing that comprises: nearest neighbor visual search analysis, categorical image classification analysis and/or categorical instance retrieval analysis. An exemplary ensemble model is scalable, where new segments/categories can be bootstrapped to build deeper learning models and achieve high precision image recognition, while the cost of implementation (including from a bandwidth and resource standpoint) is lower than what is currently available across the industry today. Processing described herein, including implementation of an exemplary ensemble data model, may be exposed as a web service that is standalone or integrated within other applications/services to enhance processing efficiency and productivity applications/services such as productivity applications/services.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.