Deep active learning method for civil infrastructure defect detection
US10417524B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 11, 2017 |
| Grant date | Sep 17, 2019 |
| Priority date | — |
| Expiry date | Jul 11, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30132
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An image processing system includes a memory to store a classifier and a set of labeled images for training the classifier, wherein each labeled image is labeled as either a positive image that includes an object of a specific type or a negative image that does not include the object of the specific type, wherein the set of labeled images has a first ratio of the positive images to the negative images. The system includes an input interface to receive a set of input images, a processor to determine a second ratio of the positive images, to classify the input images into positive and negative images to produce a set of classified images, and to select a subset of the classified images having the second ratio of the positive images to the negative images, and an output interface to render the subset of the input images for labeling.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.