Systems, methods, and techniques for training neural networks and utilizing the neural networks to detect non-compliant content
US12347178B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 30, 2023 |
| Grant date | Jul 1, 2025 |
| Priority date | — |
| Expiry date | Jan 30, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system including one or more processors and one or more non-transitory computer-readable storage media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform: training a neural network detection model with a training dataset comprising synthetic training images by: using a transformation algorithm to create the synthetic training images by appending edge case training images to one or more compliant images; receiving, at the neural network detection model, as trained, at least one image; and determining, using the neural network detection model, as trained, whether the at least one image comprises non-compliant content. Other embodiments are disclosed herein.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.