Gender Detection using OpenCV an application of Machine Learning

Venkata ravi kiran kolla

Abstract


To create a gender detection system using Python, we need to train a model with some high-level features of the face of human beings such as:
1. the distance between eyes, nose, and mouth 
2. and measurements of different parts of the face of both the genders
There are many libraries and frameworks in Python that can be used to create a real-time gender detection system. Some of these libraries include Yolo, Tensorflow, OpenCV, and Cvlib. So here I am going to use the Cvlib library in Python that can be used to detect the gender of a person in a few lines of code. Along with Cvlib, I will also be using the OpenCV library in Python so that we can detect a person’s gender using a webcam.


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