Training set sufficiency for image analysis
US12169984B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 25, 2021 |
| Grant date | Dec 17, 2024 |
| Priority date | — |
| Expiry date | Jul 14, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/175
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Aspects of the technology described herein improve an object recognition system by specifying a type of picture that would improve the accuracy of the object recognition system if used to retrain the object recognition system. The technology described herein can take the form of an improvement model that improves an object recognition model by suggesting the types of training images that would improve the object recognition model's performance. For example, the improvement model could suggest that a picture of a person smiling be used to retrain the object recognition system. Once trained, the improvement model can be used to estimate a performance score for an image recognition model given the set characteristics of a set of training of images. The improvement model can then select a feature of an image, which if added to the training set, would cause a meaningful increase in the recognition system's performance.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.