Training data to increase pixel labeling accuracy
US10032092B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 2, 2016 |
| Grant date | Jul 24, 2018 |
| Priority date | — |
| Expiry date | Feb 2, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/413
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are described to generate improved training data for pixel labeling. To generate training data, objects are displayed in a user interface by a computing device, e.g., iteratively. The objects are taken from a structured object representation associated with a respective one of a plurality of images. The structured object representation defines a hierarchical relationship of the objects within the respective image. Inputs are then received that are originated through user interaction with the user interface. The inputs label respective ones of the iteratively displayed objects, e.g., as text, a graphical element, background, foreground, and so forth. A model is trained by the computing device using machine learning.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.