Mastering Object and Face Detection & Recognition

This intensive 5-day training program offers hands-on experience in using Python for object and face detection. Participants will learn detection techniques, explore deep learning models, and implement detection systems with popular libraries.

By the end of the training, participants will have a solid foundation in object and face detection, empowering them to create their AI-powered applications.

Workshop Overview

Learning Outcomes

• Learn essential image preprocessing and feature extraction techniques using CNNs and vector embeddings.

• Get hands-on with top vision libraries (OpenCV, YOLOv8, Dlib) for object and face detection.

• Understand and implement the face recognition pipeline, including embedding and identity matching.

• Explore real-time tracking solutions and integrate detection with continuous monitoring.

• Build, deploy, and optimize practical computer vision applications, culminating in a working prototype.

Detailed Course Schedule

• Day 1:

  • Image Preprocessing and Vector Embeddings for Intelligent Vision.

• Day 2:

  • Exploring Powerful Vision Libraries — OpenCV, YOLOv8, and Dlib (Toolbox Day)

• Day 3:

  • Deep Dive into Face Recognition — From Detection to Identity Matching

• Day 4:

  • Real-Time Face & Object Tracking — From Detection to Continuous Monitoring

• Day 5:

  • Real-World Integration — From Models to Full Applications

• Master the fundamentals and advanced techniques of object and face detection

• Learn image preprocessing and feature extraction using vector embeddings

• Apply state-of-the-art deep learning models for detection and recognition tasks

• Gain hands-on experience with popular libraries like OpenCV, YOLOv8, and Dlib

• Build real-time tracking systems and deploy AI-powered applications

• Develop intelligent vision systems for real-world objects and face detection, recognition, and tracking

What will it be about?