Practice Face Detection Using OpenCV - 21.5 | 21. OpenCV | CBSE Class 10th AI (Artificial Intelleigence)
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21.5 - Face Detection Using OpenCV

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the purpose of the Haar Cascade Classifier?

💡 Hint: Think about how the model recognizes patterns.

Question 2

Easy

Why do we convert images to grayscale before detection?

💡 Hint: Consider how color might complicate processing.

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 is the first step in using OpenCV for face detection?

  • Load Haar Cascade
  • Convert to Grayscale
  • Draw Rectangles

💡 Hint: Think about the tools you need before starting a task.

Question 2

True or False: The detectMultiScale method can return multiple faces detected in a single image.

  • True
  • False

💡 Hint: Consider what happens when there are multiple people in the photo.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design an OpenCV application that counts the number of faces detected in a series of images. Describe the steps needed, including any functions you would use.

💡 Hint: Think about how you would store the counts for each image.

Question 2

Investigate how face detection can be affected by occlusions, such as sunglasses or masks. Propose a method to improve detection accuracy under such conditions.

💡 Hint: Consider how additional training with masked or occluded faces could improve model performance.

Challenge and get performance evaluation