The present invention relates to an image understanding method based on cognition. The method comprises the steps of: an establishment step of a high-cognition-degree neural network training model: associating an image data set to be classified with an image label data set, performing reclassification of the internal portion of the image data set to be classified according to an association result, performing training of a deep convolutional neural network of the data set after reclassification, and obtaining a high-cognition-degree neural network training model; and an image understanding step: allowing images to be understood to be processed by the high-cognition-degree neural network training model to obtain labels corresponding to the images. Compared to the prior art, the image understanding method based on cognition is high in understanding accuracy, more accords with the actual condition, effectively shortens the image understanding time, etc.
Image understanding method based on cognition