Computer Vision: Face Recognition Quick Starter in Python
Build deep learning-based face detection, recognition, emotion, gender, and age classification systems
Created by Abhilash Nelson
Explore practical face recognition using Python, focusing on real-world applications like detecting faces in images and video streams. You will also learn to recognize emotions, predict age and gender, and apply deep learning models without getting bogged down by complex math.
Packt | Jul 2020 | 255 min
What You Will Learn
You will start by setting up your Python environment and installing key libraries. Through hands-on coding exercises, you will build systems for face detection and recognition, then expand to emotion, age, and gender prediction. Each step includes clear explanations and practical examples to reinforce your understanding.
Key Features
- Detect and recognize faces in images and live video using Python code
- Identify emotions, age, and gender from facial images with deep learning models
- Apply face recognition and landmark detection for real-time applications
Target Audience
Ideal for developers, data enthusiasts, or anyone with basic Python knowledge looking to apply computer vision in real projects. If you want to quickly build face recognition and analysis systems without deep math or theory, this is a great place to start.
