Training method for image recognition model, spinneret plate detection method and apparatus

A training method for an image recognition model, comprising:

• 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 first image recognition model comprises a first sub model and a second sub model different from the first sub model, the first sub model is configured to process the spinneret plate sample image to obtain a first information set of each micro hole, and the second sub model is configured to process the spinneret plate sample image to obtain a second information set of each micro hole;
• and the annotation state information of each micro hole is obtained based on the first information set and the second information set and is used to characterize a shape state of each micro hole corresponding thereto;
• and
• training a preset image recognition model based on the spinneret plate sample image and the annotation state information of each micro hole to obtain a target image recognition model, wherein the target image recognition model is used to process a spinneret plate projection image to obtain state information of each micro hole in a spinneret plate.