Disclosed are a multi-dimensional task facial beauty prediction method and system, and a storage medium. The method comprises: in a training stage, using a first facial image to optimize a shared feature extraction network for extracting a shared feature and to train a plurality of sub-task networks for executing a facial beauty classification task; in a test stage, extracting a shared feature of a second facial image; inputting the shared feature into a plurality of trained facial beauty classification tasks; and combining first output results of the plurality of facial beauty classification tasks to obtain a first beauty prediction result. The problem of the imbalance of data samples occurring during a facial beauty prediction process can be effectively solved, thereby improving the accuracy of facial beauty prediction.
MULTI-DIMENSIONAL TASK FACIAL BEAUTY PREDICTION METHOD AND SYSTEM, AND STORAGE MEDIUM