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:
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Review:
Key concepts and applications.
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Demo:
Face and eye detection with OpenCV.
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Practice:
Applying and optimising detection.
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Closing:
Key takeaways and next steps.
Today's learning objectives:
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Understand face detection
by exploring Haar Cascades in OpenCV to detect faces in images.
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Develop real-time detection pipelines
by preprocessing images, applying models and visualising results.
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Explore modern detection methods
with Mediapipe, including handling profile faces.
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Learn to build comprehensive detection pipelines
by integrating face and eye detection and refining accuracy.
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Apply problem-solving techniques
by adjusting parameters and implementing complete detection solutions.
Workshop slides
Preview or download a copy of the Workshop 1 slides:
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In progress