Method and apparatus for training traffic sign idenfication model, and method and apparatus for identifying traffic sign

A method for identifying a traffic sign, comprising:

• obtaining an image to be identified;
• and
• identifying the image to be identified by a traffic sign identification model, wherein the traffic sign identification model is trained by performing acts of:
• obtaining an original image containing a traffic sign;
• generating a target image based on the original image through a machine learning model, wherein the machine learning model is trained based on a plurality of pairs of sample images, each pair contains an original sample image containing the traffic sign and a modified sample image after modifying the original sample image;
• and
• training the traffic sign identification model based at least on the target image.

An apparatus for training a traffic sign identification model, comprising:

• one or more processors;
• a memory storing instructions executable by the one or more processors;
• wherein the one or more processors are configured to:
• obtain an original image containing a traffic sign;
• generate a target image based on the original image through a machine learning model, wherein the machine learning model is trained based on a plurality of pairs of sample images, each pair contains an original sample image containing the traffic sign and a modified sample image after modifying the original sample image;
• and
• train the traffic sign identification model based at least on the target image.