Training method for image recognition model, spinneret plate detection method and apparatus
US12205354B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 17, 2024 |
| Grant date | Jan 21, 2025 |
| Priority date | — |
| Expiry date | Jul 17, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/70
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided is a training method for an image recognition model, a spinneret plate detection method, a spinneret plate detection device, and a storage medium, relating to the fields of image recognition and deep learning technologies. The training method includes: processing a spinneret plate sample image based on a first image recognition model to obtain annotation state information of each micro hole in the spinneret plate sample image, wherein the spinneret plate sample image is a projection image formed on an imaging member after light emitted by a light source passes through each micro hole of a spinneret plate sample and is amplified by an amplifying member, the annotation state information is used to characterize a shape state of a micro hole corresponding thereto; and training a preset image recognition model based on the spinneret plate sample image and the annotation state information to obtain a target image recognition model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.