Skills application
Workshop
CompleteEye detection with OpenCV practical exercise
In this challenge, you are required to optimise the accuracy of face detection by experimenting with the parameters of the Haar Cascade face detector.
Understanding and applying these adjustments can help you fine-tune computer vision models in your workplace, improving accuracy in applications like security systems, identity verification and automated image analysis.
Activity instructions
1. Work on the challenges
Follow the instructions in the Jupyter Notebook to work on the challenges. Use the provided resources to refine face and eye detection techniques.
2. Collaborate in the breakout room
Discuss and share insights with fellow apprentices as you work on the activity challenges. While the activity is designed for individual completion, feel free to ask questions, collaborate and compare approaches with your group.
3. Regroup and share
Return to the main session after 20 minutes to discuss key takeaways and insights from the exercise.
Workshop Lab: OpenCV Exercises
Access the Jupyter Notebook for today's workshop to begin the practical exercises.