Selecting data for deep learning
US12380709B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Oct 22, 2021 |
| Grant date | Aug 5, 2025 |
| Priority date | — |
| Expiry date | Apr 21, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/584
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods analyze a data set including a plurality of images. In one implementation, at least one processor receives a plurality of images acquired by one or more cameras associated with at least one vehicle; and analyzes the plurality of images using an active learning system configured to determine a relative priority ranking among the plurality of images. The relative priority ranking indicates an ordered sequence for the plurality of images, and is determined based on at least one indicator, determined for each of the plurality of images, of a complexity level and a diversity level associated with representations of one or more objects represented in the plurality of images. The at least one processor then outputs information indicating the relative priority ranking among the plurality of images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.