Practice - Face Detection Using OpenCV
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Practice Questions
Test your understanding with targeted questions
What is the purpose of the Haar Cascade Classifier?
💡 Hint: Think about how the model recognizes patterns.
Why do we convert images to grayscale before detection?
💡 Hint: Consider how color might complicate processing.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the first step in using OpenCV for face detection?
💡 Hint: Think about the tools you need before starting a task.
True or False: The detectMultiScale method can return multiple faces detected in a single image.
💡 Hint: Consider what happens when there are multiple people in the photo.
1 more question available
Challenge Problems
Push your limits with advanced challenges
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.
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.
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Reference links
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