Detecting representative bias within image data sets
US12400305B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 22, 2021 |
| Grant date | Aug 26, 2025 |
| Priority date | — |
| Expiry date | Dec 3, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20081
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
One example method includes determining representation bias in a data set. A bias detection engine is trained using a data set that is sufficiently diversified and/or unbiased. Once trained, test data sets can be evaluated by the bias detection engine to determine an amount of representation bias in the test data sets. The representation bias can be visually conveyed to a user and suggestions on how to reduce the representation bias may be provided and/or implemented to reduce the representation bias in the test data set. Suggestions can be implemented by adding or removing data from the test data that will reduce the representation bias.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.