Gender Detection is based on the applications of computer vision. There are so many computer vision libraries in Python that we can use for the task of recognizing the gender of a human being. In this article, I will take you through how we can use OpenCV and cvlib libraries for the task of Gender Detection with machine learning using Python.
Gender Detection with Machine Learning
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:
- distance between eyes, nose and mouth
- 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.
Gender Detection using Python
Before you get started with the task of Gender Detection, make sure that you have OpenCV and cvlib libraries installed in your system. You can install both these libraries by using the pip command:
- pip install opencv-python
- pip install cvlib
After installing both the libraries as mentioned above, you can start with the task of gender detection with Python. I will start this task by importing the necessary Python libraries and reading the image that I will use for this task:
Now below is how we can use the OpenCV and cvlib libraries in Python for the task of Gender Detection:
Summary
So this is how we can easily detect the gender of a human being by using an input image or using a webcam in real-time. This task is a great project for those who want to create applications of computer vision. I hope you liked this article on the task of Gender Recognition with machine learning using Python. Feel free to ask your valuable questions in the comments section below.
