Based on the random forest algorithm, this paper constructs a decision tree model and sets up a dataset to predict the artistic value and economic value of Han Dynasty animal images. Calculate the out-of-bag dataset of any individual classifier of random forest, define the expectation of random forest boundary function, take samples from the data samples as the split object, and derive the Gini value of the samples. Using random variables for joint probability distribution, take any class of indicators to calculate the value indicator weights of the images. The results show that for the artistic value scores of Han Dynasty animal images, user 8 and user 10 give the highest score of 10 for the aesthetic and appreciation value of the images, respectively. Therefore, Han Dynasty animal images should be deeply excavated to realize the organic integration of its artistic value and economic value development