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if you cannot guarantee, that folks are looking stright into the camera, try the following:

use 2 CascadeClassifiers, one with a frontal face detector, and the other with the profile detector

then, you have to do 3 detections, 1st with the frontal, 2nd with the profile, and a 3rd profile detection with the flipped image.

"While i will try to train my own cascade"

i have some doubts, that you will be able to get better results. (you'd need a ton of data for this)

if you cannot guarantee, that folks are looking stright into the camera, try the following:

use 2 CascadeClassifiers, one with a frontal face detector, and the other with the profile detector

then, you have to do 3 detections, 1st with the frontal, 2nd with the profile, and a 3rd profile detection with the flipped image.

then use IOU to filter out duplicate detections

"While i will try to train my own cascade"

i have some doubts, that you will be able to get better results. (you'd need a ton of data for this)