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Face Detection Methods

Today, there are many different face detection methods. While some of these are very good detections, some can make bad detections. Causes of bad detections:

  • The person wears glasses,
  • The person is in a dim environment,
  • The person's entire face is not visible and because of similar reasons, the detection rate of these methods also changes.

I compared the four most used face detection methods in the world. These:

  • DNN
  • DLIB
  • Haarcascade
  • MTCNN

DNN

If you want to run face detection with DNN:

python faceDetection.py -m DNN


DLIB

If you want to run face detection with DLIB:

python faceDetection.py -m DLIB


Haarcascade

If you want to run face detection with Haarcascade:

python faceDetection.py -m HAARCASCADE


MTCNN

If you want to run face detection with MTCNN:

python faceDetection.py -m MTCNN