Data set generation, model training and image recognition system of cervical liquid-based cell image

The invention relates to the technical field of artificial intelligence model training, in particular to a data set generation system, model training and image recognition system of a cervical liquid-based cell image, and the system comprises an acquisition module which obtains a pathological image and a diagnosis result of the pathological image; the segmentation module is used for segmenting a pathological region in the pathological image to obtain a plurality of image blocks; the labeling module is used for generating cell labels for the positive cells in the image blocks; and the label generation module is used for adding a first label corresponding to the diagnosis result and a second label corresponding to the image block and the cell label to generate a labeled image, and adding the labeled image into the data set. The method has the beneficial effects that the first label corresponding to the whole image and the second label corresponding to the cells in the image block are generated for the pathologi