Data Science: Predict the Gender and Age Range of an Individual in Python
Age and Gender have always been important features of our identity. It is also an important factor in our social life. Predictions of age and Gender made with AI can be applied to many areas such as intelligent human-machine interface development, security, cosmetics, electronic commerce.
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 images and videos while also boasting analytical capabilities.
We will use OpenCV to accurately identify the gender and age of a person from a single image of a face. The predicted gender may be one of ‘Male’ and ‘Female’, and the predicted age may be one of the following ranges- (0–2), (4–6), (8–12), (15–20), (25–32), (38–43), (48–53), (60–100).
The steps we must take are as follows.
Step 1: Importing libraries
Step 2: Finding bounding box coordinates
Step 3: Loading model and weight files
Step 4: Mentioning age and gender category list
Step 5: Function to predict gender and age
Step 6: Uploading photo
Final result:
You can find the code below
