A human face detection method and a human face detection system. The human face detection method comprises the following steps: establishing a convolutional neural network framework, the convolutional neural network framework at least comprising a candidate region generating network, a correction network and a multi-information output network; connecting the convolutional neural network framework to a data preparation module; running the candidate region generating network, and generating multiple first human face candidate region frames; running the correction network, screening the first human face candidate region frames, correcting the positions of residual first human face candidate region frames, and performing non-maximum suppression; and running the multi-information output network, screening the first human face candidate region frames, correcting the positions of the residual first human face candidate region frames, performing non-maximum suppression, and outputting human face feature points and human facial poses corresponding to the residual first human face candidate region frames and the first human face candidate region frames.
HUMAN FACE DETECTION METHOD AND HUMAN FACE DETECTION SYSTEM