Using neural network models to classify image objects
US11715310B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 2, 2020 |
| Grant date | Aug 1, 2023 |
| Priority date | — |
| Expiry date | May 1, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/19147
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for machine learning. One of the methods includes receiving an image; providing the image to a neural network model, wherein the neural network model is trained to output predictions of one or more locations within the image and corresponding classifications; extracting text content within one or more of the one or more locations; analyzing the extracted text content using the corresponding classifications to evaluate one or more of external consistency with other data records or internal consistency with content from one or more of the particular locations; and generating one or more outputs based on the analyzing.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.