Automated data annotation for computer vision applications
US12293563B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 1, 2022 |
| Grant date | May 6, 2025 |
| Priority date | — |
| Expiry date | Jun 21, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This disclosure provides methods, devices, and systems for training machine learning models. The present implementations more specifically relate to techniques for automating the annotation of data for training machine learning models. In some aspects, a machine learning system may receive a reference image depicting an object of interest with one or more annotations and also may receive one or more input images depicting the object of interest at various distances, angles, or locations but without annotations. The machine learning system maps a set of points in the reference image to a respective set of points in each input image so that the annotations from the reference image are projected onto the object of interest in each input image. The machine learning system may further train a machine learning model to produce inferences about the object of interest based on the annotated input images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.