Predict the Gender and Age range of an individual using Python

Age and gender prediction are used extensively in the field of computer vision for surveillance. Advancement in computer vision makes this prediction even more practical and open to all. Significant improvements have been made in this research area due to its usefulness in intelligent real-world applications.

We will use OpenCV to train our CNN model. OpenCV is short for Open Source Computer Vision. Intuitively by the name, it is an open-source Computer Vision and Machine Learning library. This library is capable of processing real-time image and video while also boasting analytical capabilities.

A Convolutional Neural Network is a deep neural network (DNN) widely used for the purposes of image recognition and processing and NLP. Also known as a ConvNet, a CNN has input and output layers, and multiple hidden layers, many of which are convolutional. In a way, CNNs are regularized multilayer perceptrons.

The gender predicted maybe of ‘Male’ or ‘Female’. And the age can lie between predefined age range. It is very difficult to accurately guess an exact age from a single image because of factors like makeup, lighting, obstructions, and facial expressions.

Code

Import necessary libraries like OpenCV.

Define a function named getFaceBox to highlight predicted face.

Load the required files

Creating categories for gender and age

Predict gender and age

Testing out our model