EVALUATION OF FACE DETECTORS FOR FACE RECOGNITION
Univertsity of Balochistan, Quetta, Muhammad Zain Abbas, Junaid Baber, 1Univertsity of Balochistan, Quetta, Maheen Bakhtyar, 1Univertsity of Balochistan, Quetta, IHSANULLAH IHSANULLAH, 1Univertsity of Balochistan, Quetta, Waheed Noor, 1Univertsity of Balochistan, Quetta · Pakistan Journal of Emerging Science and Technologies (PJEST) · 2023
Artificial intelligence technologies are now advancing swiftly and providing us with a variety of opportunities. The completion of analysis, predicting, and acknowledgment. In recent years, the field of computer vision has become one of highly exciting research. In this paper, we have compared three famous face detectors model, used for face recognition; Dlib, MTCNN, and FaceNet. We have conducted serious of experiments to compare the detection speed and accuracy for above mentioned detectors. FaceNet is the fastest among others without loss in recognition accuracy on commodity hardware.