Object detection using augmented data
US12307784B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 29, 2022 |
| Grant date | May 20, 2025 |
| Priority date | — |
| Expiry date | Nov 11, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/56
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for improving training data used to train a model to detect objects in an environment are disclosed. Portions of a dataset that are associated with significant operational conditions may be associated with indications of such conditions. The properties of these portions may be used to identify other portions of the dataset or other datasets for augmentation. Data in these portions of a dataset representing detections in an environment may be augmented generally, for example, by flipping geometric values and modifying associated data accordingly. Specific objects represented in such portions may also be augmented by determining particular objects that are represented in selected frames and channels and modifying the pixel values for pixels associated with such objects. The pixel values may be modified or zeroed based on various criteria. The resulting augmented data may be used to train a machine-learned model to more accurately detect objects in an environment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.