Image data classification method, device and system
US12174914B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 16, 2021 |
| Grant date | Dec 24, 2024 |
| Priority date | — |
| Expiry date | Oct 16, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to an image data classification method, device and system, and relates to the field of computer technology. The method includes: inputting test image data into a neural network model trained by using an original training sample set for classification, and determining an image type to which the test image data belongs and a membership probability of the image data belonging to the image type; establishing an easy-to-classify data set, according to test image data with a membership probability greater than a first threshold; adding test image data in the easy-to-classify data set that has a classification accuracy rate less than or equal to a second threshold and a correct classification result to the original training sample set to generate an augmented training sample set; and using the augmented training sample set to train the neural network model so as to determine an image class.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.