Data processing method based on neural network model

The invention discloses a data processing method based on a neural network model, and belongs to the technical field of data processing. The invention discloses a data processing method based on a neural network model, and the method comprises the following steps: building a neural network model, and forming a training set for training the neural network model according to the obtained virtual image data; wherein the training set comprises a plurality of training subsets divided according to the training difficulty, each piece of image data belongs to one of the training subsets, and the training subset to which the image data belongs is determined based on the integrity of the image data or the loss value of the image data; the data integrity of the image data is in negative correlation with the training difficulty of the image data, and the loss value of the image data is in positive correlation with the training difficulty of the image data. According to the method, the data volume of training can be incre