Using image data, predict the gender and age range of an individual in Python
Computer Vision in the field of study enables computers to see and identify digital images and videos as a human would. The challenges it faces largely follow from the limited understanding of the biological vision. Computer Vision involves acquiring, processing, analyzing, and understanding digital images to extract high-dimensional data from the real world in order to generate symbolic or numerical information which can then be used to make decisions. The process often includes practices like object recognition, video tracking, motion estimation, and image restoration.
OpenCV is a cross-platform library using which we can develop real-time computer vision applications. It mainly focuses on image processing, video capture, and analysis including features like face detection and object detection. In this tutorial, we explain how you can use OpenCV in your applications.
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 5: Function to predict gender and age
After opening CMD we need to go to the path where our folder is then run the following command.
python Gender.py — image “1.jpg”
Github Link : https://github.com/krupa2000/Gender_Age_Detection_Using_OpenCV
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