Evaluation of Face Detectors for Face Recognition
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Abstract
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.
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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Pakistan Journal Emerging Science and Technologies (PJEST) in collaboration with Govt. Islamia Graduate College Civil Lines Lahore, Pakistan is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
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