yaw, pitch, roll for the three most common problems in face detection.
According to my testing,
Roll is a weakness of MTCNN, almost more than 20 degrees will not recognize it.
I try using mtcnn' landmark detection to do the face alignment in face roll situation, but it's not work.
Is there any method to improve this situation, like increase the rotation of the dataset to train or something?
yaw, pitch, roll for the three most common problems in face detection. According to my testing, Roll is a weakness of MTCNN, almost more than 20 degrees will not recognize it. I try using mtcnn' landmark detection to do the face alignment in face roll situation, but it's not work. Is there any method to improve this situation, like increase the rotation of the dataset to train or something?