IMAGE PROCESSING MODEL TRAINING METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM

This application discloses a method, apparatus, device, and storage medium for training an image processing model, and relates to the field of artificial intelligence technologies. The method includes: obtaining a predicted recognition result of a first sample face image and first occlusion indication information based on an image processing model, the first occlusion indication information being used for indicating an image feature of a face occlusion area of the first sample face image; obtaining a recognition error based on the predicted recognition result and a target recognition result corresponding to the first sample face image; obtaining a classification error based on the first occlusion indication information and a target occlusion pattern corresponding to the first sample face image, an occlusion pattern of the first sample face image being used for indicating a position and a size of the face occlusion area; and updating a model parameter of the image processing model according to the recognition error and the classification error.