Patent · US Active

Neural network training image generation system

US10262236B2 · kind B2 · utility

32Cited by
8References
17Claims
0Family size

Assignee

Inventors

Key dates

Filing dateMay 2, 2017
Grant dateApr 16, 2019
Priority date
Expiry dateMay 2, 2037

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06T2207/30164
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

A system that generates training images for neural networks includes one or more processors configured to receive input representing one or more selected areas in an image mask. The one or more processors are configured to form a labeled masked image by combining the image mask with an unlabeled image of equipment. The one or more processors also are configured to train an artificial neural network using the labeled masked image to one or more of automatically identify equipment damage appearing in one or more actual images of equipment and/or generate one or more training images for training another artificial neural network to automatically identify the equipment damage appearing in the one or more actual images of equipment.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.