DECI – M3 – W3 – Round2
Quiz
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Computers
•
Professional Development
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Practice Problem
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Medium
Mustafa Elaraby
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14 questions
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1.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
What is computer vision?
A software for managing images
Teaching computers to understand and interpret visual information
A type of digital camera
A new type of computer monitor
2.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
How does human vision work?
By capturing images with the brain
Through the sense of touch
By taking in light with the eyes and processing it in the brain
By using the nose to interpret visual information
3.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
Which of the following is a common source of visual input for computer vision systems?
Audio recordings
Taste tests
Photographs and videos
Temperature measurements
4.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
How does computer vision relate to the human visual system?
It's unrelated to human vision.
It's focused on hearing instead of seeing.
It primarily processes taste-related information.
It aims to mimic human visual perception.
5.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
When is computer vision especially advantageous?
When handling complex visual tasks that are challenging to program explicitly.
When dealing with simple tasks that require minimal coding.
When you need to write explicit instructions for complex tasks.
When there is no need for visual data interpretation.
6.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
What is the fundamental difference between traditional programming and computer vision?
Traditional programming uses machine learning, while computer vision relies on explicit instructions.
Traditional programming doesn't involve coding, while computer vision requires extensive coding.
Traditional programming uses explicit instructions, while computer vision uses machine learning.
Traditional programming and computer vision are essentially the same.
7.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
What is face detection in computer vision?
Recognizing emotions displayed on a face
Locating human faces in an image
Identifying faces in a crowd
Analyzing facial expressions
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