Age and gender prediction method, system and device based on face image

The invention provides a method, a system and equipment for carrying out age and gender prediction based on a face image. The method comprises the following steps: acquiring a picture; detecting a face position and a feature point position in the picture by using a face detection algorithm, and correcting and intercepting the face according to preset parameters to obtain a standard face picture; predicting the standard face picture by using a pre-trained neural network model, and outputting the age and gender of the face; the neural network model adopts a feature pyramid structure; according to the method, richer multi-level face features from high to low can be extracted. Meanwhile, age values are expressed as endpoint weight vectors, the endpoint weight vectors serve as middle-layer supervision information in the model training stage to train a model together with age value regression, age regression values are directly output in the prediction stage, and the method is superior to anexisting method in speed