Method for training image recognition model, electronic device and storage medium

An electronic device, comprising:

• at least one processor;
• and
• a memory communicatively coupled to the at least one processor;
• wherein, the memory stores instructions executable by the at least one processor, when the instructions are executed by the at least one processor, the at least one processor is caused to implement a method for training an image recognition model, the method comprising:
• obtaining a training data set, wherein the training data set comprises first text images of each vertical category in a non-target scene and second text images of each vertical category in a target scene, and a type of text content involved in the first text images is the same as a type of text content involved in the second text images;
• training an initial recognition model by using the first text images, to obtain a basic recognition model;
• and
• modifying the basic recognition model by using the second text images, to obtain an image recognition model corresponding to the target scene.

A non-transitory computer-readable storage medium having computer instructions stored thereon, wherein the computer instructions are configured to cause a computer to implement a method for training an image recognition model, the method comprising:

• obtaining a training data set, wherein the training data set comprises first text images of each vertical category in a non-target scene and second text images of each vertical category in a target scene, and a type of text content involved in the first text images is the same as a type of text content involved in the second text images;
• training an initial recognition model by using the first text images, to obtain a basic recognition model;
• and
• modifying the basic recognition model by using the second text images, to obtain an image recognition model corresponding to the target scene.