Method and device for training image recognition model, equipment and medium

A computer-implemented image recognition method, comprising:

• acquiring a target image to be recognized;
• and
• recognizing the target image based on an image recognition model so as to extract text data in the target image, wherein the image recognition model is obtained by performing the following operations:
• acquiring training data, wherein the training data includes training images for a preset vertical type, and the training images include a first training image containing real data of the preset vertical type and a second training image containing virtual data of the preset vertical type;
• building a basic model, wherein the basic model includes a deep learning network, and the deep learning network is configured to recognize the training images to extract text data in the training images;
• and
• training the basic model by using the training data to obtain the image recognition model.

Electronic equipment, comprising:

• one or more processors;
• and
• a memory storing one or more programs configured to be executed by the one or more processors, the one or more programs including instructions for causing the electronic device to perform operations comprising:
• acquiring training data, wherein the training data includes training images for a preset vertical type, and the training images include a first training image containing real data of the preset vertical type and a second training image containing virtual data of the preset vertical type;
• building a basic model, wherein the basic model includes a deep learning network, and the deep learning network is configured to recognize the training images to extract text data in the training images;
• and
• training the basic model by using the training data to obtain the image recognition model.

A non-transitory computer readable storage medium that stores one or more programs comprising instructions that, when executed by one or more processors of an electronic device, cause the electronic device to implement operations comprising:

• acquiring training data, wherein the training data includes training images for a preset vertical type, and the training images include a first training image containing real data of the preset vertical type and a second training image containing virtual data of the preset vertical type;
• building a basic model, wherein the basic model includes a deep learning network, and the deep learning network is configured to recognize the training images to extract text data in the training images;
• and
• training the basic model by using the training data to obtain the image recognition model.