Adel Benyahia
Jun 12, 2023

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In our Tutorial, we have used "ssdMobilenetv1" model wtih have a hight accuracy.

This is from the official documentation:

"For face detection, this project implements a SSD (Single Shot Multibox Detector) based on MobileNetV1. The neural net will compute the locations of each face in an image and will return the bounding boxes together with it's probability for each face. This face detector is aiming towards obtaining high accuracy in detecting face bounding boxes instead of low inference time. The size of the quantized model is about 5.4 MB (ssd_mobilenetv1_model).

The face detection model has been trained on the WIDERFACE dataset and the weights are provided by yeephycho in this repo."

Link: https://github.com/justadudewhohacks/face-api.js/

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Adel Benyahia

Web application developer (HTML │ CSS │ JS | ReactJS | NextJS | NestJS | MERN)