METHOD AND APPARATUS FOR TRAINING CELL DEFECT DETECTION MODEL

A method for training a cell defect detection model includes training a defect classification model that includes an output layer using a plurality of first sample images so that a defect classification model obtained through training is capable of predicting a plurality of first-preset-category defects of a cell, inputting a second sample image to a defect classification model with at least an output layer removed to obtain a sample feature vector of the second sample image, inputting the sample feature vector of the second sample image to a backbone model to obtain a predicted defect classification result of the second sample image, and adjusting, based on a second-preset-category defect and the predicted defect classification result of the second sample image, parameters of the backbone model and the defect classification model with at least the output layer removed.