Method and apparatus for updating user image recognition model

An electronic device, comprising:

• at least one processor;
• and
• a memory communicatively connected with the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions, when executed by the at least one processor, cause the at least one processor to perform operations comprising:
• acquiring user image data of at least one target user;
• inputting the user image data of at least one target user to a pre-trained user image recognition model respectively, to obtain a corresponding recognition result, the user image recognition model being configured to recognize the user image data;
• acquiring, in responding to determining that the recognition result is an incorrect recognition result, correction information of the incorrect recognition result, the correction information being used to indicate a correct recognition result of the user image data corresponding to the incorrect recognition result;
• and
• updating the user image recognition model based on the user image data corresponding to the incorrect recognition result, and the correction information, to obtain an updated user image recognition model.

A non-transitory computer readable storage medium storing computer instruction, wherein the computer instructions when executed by a computer cause the computer to perform operations comprising:

• acquiring user image data of at least one target user;
• inputting the user image data of at least one target user to a pre-trained user image recognition model respectively, to obtain a corresponding recognition result, the user image recognition model being configured to recognize the user image data;
• acquiring, in responding to determining that the recognition result is an incorrect recognition result, correction information of the incorrect recognition result, the correction information being used to indicate a correct recognition result of the user image data corresponding to the incorrect recognition result;
• and
• updating the user image recognition model based on the user image data corresponding to the incorrect recognition result, and the correction information, to obtain an updated user image recognition model.