hi mailcorahul,I have tested the densenet and vgg models, but the accuracy rate has not improved significantly. However, you suggest including only facial features, and I suddenly realized that it should not be better to include other backgrounds? If this is the case, before I detect an image, I should extract the facial area in the image and then recognize it. However, this leads to another problem, that is, how do I extract areas that may have faces in the picture. Does Pytorch have a solution to do this?