Assisted labelling of training data for machine learning models
US12387463B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 21, 2022 |
| Grant date | Aug 12, 2025 |
| Priority date | — |
| Expiry date | Apr 27, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30252
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method. Includes determining an estimate of a state of an object detected at a first time step, based on a pointwise estimate of the state of the object at the first time step and pointwise measurements of the state of the object at a plurality of further time steps. Includes generating, using the estimate of the state of the object, a proposed annotation associated with the object at the first time step. Includes rendering, via a user interface, a visual representation of the environment at the first time step and a visual representation of the proposed annotation. Includes receiving, via the user interface, user input indicating a user-approved annotation associated with the object at the first time step. Includes generating training data for a machine learning model for use in controlling an autonomous vehicle, based at least in part on the user-approved annotation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.