Method and Apparatus for Image and Training Data Processing, Electronic Device and Storage Medium

An asynchronous training data processing method, comprising:

• inputting image samples comprising tongues into a directional state classifier to obtain first directional states and first direction confidence of tongues in respective image samples;
• inputting the image samples into a key point detector to obtain first key point locations and first location confidence of the tongues in respective image samples;
• determining a first candidate image among the image samples according to the first direction confidence and the first location confidence of the tongues in the image samples for supervised annotation;
• training the directional state classifier and the key point detector using the first candidate image after the supervised annotation;
• inputting non-candidate images among the image samples into the directional state classifier after training to obtain second directional states and second direction confidence of tongues in the non-candidate images;
• inputting the non-candidate images into the key point detector after training to obtain second key point locations and second location confidence of the tongues in the non-candidate image;
• selecting a second candidate image among the non-candidate images according to a delta change on confidence of the directional states and key point locations of the non-candidate images for supervised annotation;
• and
• training the directional state classifier and the key point detector using second candidate image after the supervised annotation.

An electronic device comprising:

• a processor;
• and
• a memory for storing executable instructions for the processor;
• wherein the processor is configured to execute the executable instructions to:
• obtain a first image comprising a tongue;
• input the first image into a directional state classifier to obtain a directional state and first direction confidence of the tongue in the first image;
• input the first image into a key point detector to obtain a key point location and first location confidence of the tongue in the first image;
• and
• determine the first image as a candidate image according to the first direction confidence and the first location confidence of the tongue in the first image so as to perform supervised annotation.