Generating labeled synthetic training data
US12001512B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 25, 2021 |
| Grant date | Jun 4, 2024 |
| Priority date | — |
| Expiry date | Sep 6, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/2413
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Implementations are described herein for automatically labeling synthetic plant parts in synthetic training images, where the synthetic training images and corresponding labels can be used as training data for training machine learning models to detect, segment, and/or classify various parts of plants in digital images. In various implementations, a digital image may be obtained that captures an area. The synthetic training image may be generated to depict one or more three-dimensional synthetic plants in the area. In many implementations, a plant mask, identifying individual plants as a whole in the synthetic training image, as well as a part mask, uniquely identifying one or more parts of the synthetic plant models, can be overlaid on the synthetic training image to label the one or more parts of the synthetic plant models.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.