Automatic labeling and segmentation using machine learning models
US11899749B2 · kind B2 · utility
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33Claims
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Key dates
| Filing date | Mar 15, 2021 |
| Grant date | Feb 13, 2024 |
| Priority date | — |
| Expiry date | Apr 5, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In various examples, training methods as described to generate a trained neural network that is robust to various environmental features. In an embodiment, training includes modifying images of a dataset and generating boundary boxes and/or other segmentation information for the modified images which is used to train a neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.