Generating training data for machine learning classifier
US10909423B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 7, 2018 |
| Grant date | Feb 2, 2021 |
| Priority date | — |
| Expiry date | Sep 5, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Data representing a scene is received. The scene includes labeled elements such as walls, a floor, a ceiling, and objects placed at various locations in the scene. The original received scene may be modified in different ways to create new scenes that are based on the original scene. These modifications include adding clutter to the scene, moving one or more elements of the scene, swapping one or more elements of the scene with different labeled elements, changing the size, color, or materials associated with one or more of the elements of the scene, and changing the lighting used in the scene. Each new scene may be used to generate labeled training data for a classifier by placing a virtual sensor (e.g., a camera) in the new scene, and generating sensor output data for the virtual sensor based on its placement in the new scene.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.