What is Face Detection? – The Ultimate Guide for 2022

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Face Detection is a computer vision technique in which a computer program can detect the presence of human faces and also find their location in an image or a video stream.
Isn’t it mind-boggling how the mobile camera automatically detects your face every time you try to take a selfie?
You must’ve also noted that it captures other people’s faces in the frame. Well, all this wouldn’t have been possible without Face Detection algorithms. With every passing year, Facial Detection algorithms are evolving to be faster and more robust.

Topics covered are:
✅What is Face Detection?
✅Face Detection Vs Face Recognition
✅Why is Facial Detection Important?
✅Applications of Face Detection
✅Difficulties/Challenges of Detecting a Face
✅Benchmarking Datasets for Face Detection
✅Metrics used for Evaluating Face Detection models
✅Evolution Timeline of Facial Detection Algorithms
✅Classical Algorithms of Face Detection
✅Deep Learning based Face Detectors
✅Comparison of Face Detectors

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I found this very helpful, thankyou you for explaining this.

timjach
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Very helpful, thank you very much for explaining this

sanjanaroy
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amazing video, i just had a few question:
1)does mediapipe and yunet provide facial landmarks like retinaface and mtcnn?
2)I am doing a surveillance based application on wide view surveuillance cameras so i used retinaface but it is too slow for real time use, can you provide the code or repo for using it on GPU please
3)do you have any tips for my use case, it is for my graduation project and I would really appreciate it

yousefunfiltered
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i am wondering why yolo7 is not part of all these models?

alfarqi