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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What function is used to convert a color image to grayscale in OpenCV?
💡 Hint: Think of the function that changes color formats.
Question 2
Easy
What is the role of the Haar Cascade classifier in face detection?
💡 Hint: It's a model trained to recognize specific objects.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What must you do before detecting faces in an image?
- Convert to RGB
- Convert to Grayscale
- Resize the image
💡 Hint: What does simplifying the image help with?
Question 2
True or False: The Haar Cascade classifier is trained to recognize various objects beyond just faces.
- True
- False
💡 Hint: Consider the versatility of the model.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Create a Python script that detects and highlights faces in an image and writes a brief report discussing the choices made for parameters.
💡 Hint: Think about how to balance accuracy and speed.
Question 2
Design an algorithm combining face detection with emotion recognition, detailing how you'd implement both techniques in your code.
💡 Hint: What data will you need for emotion recognition?
Challenge and get performance evaluation