Welcome to the workshop!
Welcome to ML and computer vision — Face detection and hierarchical approaches!

Today's icebreaker:
Find the link!
What links these three images?
Share your thoughts in the chat!
Today's agenda:
- **Review:**Key concepts and applications.
- **Demo:**Face and eye detection with OpenCV.
- **Practice:**Applying and optimising detection.
- **Closing:**Key takeaways and next steps.
Today's learning objectives:
- Understand face detection by exploring Haar Cascades in OpenCV to detect faces in images.
- Develop real-time detection pipelines by preprocessing images, applying models and visualising results.
- Explore modern detection methods with Mediapipe, including handling profile faces.
- Learn to build comprehensive detection pipelines by integrating face and eye detection and refining accuracy.
- Apply problem-solving techniques by adjusting parameters and implementing complete detection solutions.