PyAI Day 10

An engaging and colorful illustration depicting face detection technology using Haar Cascade, showing faces being recognized in various images with computer vision elements incorporated.

Haar Cascade Knowledge Quiz

Test your knowledge on Haar Cascade, a popular object detection algorithm used in image and video processing. This quiz will cover the fundamentals of Haar Cascade and how it works in the realm of computer vision.

Join us to revise key concepts and improve your understanding!

  • Multiple choice questions
  • Focus on face detection
  • Suitable for learners and enthusiasts
11 Questions3 MinutesCreated by DetectingEagle42
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1. Haar Cascade is a machine learning object detection algorithm used to identify __________ from images/videos.
Objects
Faces
Lanes
Colours
2. The Haar Cascade Algorithm has _____ number of stages.
5
3
4
2
3. Applying the output of a system as an input to other system is called as _______.
Cascading
Simplifying
Doubling
None
4. Before Face Detection...the input images need to be converted into__________ format.
Grayscale
Colour
Negative
BGR
5. One or more classifiers can be used at a time...........say true/false.
True
False
6. ____________ is a way of bypassing the generated errors and continuing the program execution.
Reg Expressions
List Comprehension
Exception Handling
None
7. A function must always accept an input.........say true or flase.
False
True
8. OpenCV is only a python based library.
True
False
9. The input function bydefault provides input data in_________ format.
Int
String
List
Any
10. The Haar Cascade is a pre trained classifier...say true/false.
False
True
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