GENDER DETECTION

                               GENDER DETECTION

We can use machine learning to detect the gender of a human using the facial appearance samples of men and women. Facial appearance is one of the common ways that we humans use to recognize the gender of another person. We can also use a person’s voice, but the best approach is to train a model with high-level characteristics of human beings such as:

1. distance between eyes, nose and mouth
2. measurements of different parts of the faces of both genders.
So I hope you now understand how a machine learning model can be trained for the task of recognizing the gender of a human being. But since Python provides libraries for almost every possible task today, we can also use the OpenCV and cvlib libraries in Python to detect a person’s gender. In the section below, I will take you through the task of Gender Detection with machine learning using Python.

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