What is the primary purpose of converting an image to grayscale in the context of face detection?
Python In Practice - 15 Projects to Master Python - Detecting Faces in Images with Our Model

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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
To enhance color details
To reduce the image size
To simplify the detection process
To increase the image resolution
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which method is used to detect faces at multiple scales in an image?
detectSingleScale
detectMultiscale
detectFaces
detectCoordinates
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the significance of the arguments 1.3 and 5 in the detectMultiscale method?
They define the color space
They are default values for detection
They specify the image resolution
They adjust the image brightness
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you verify if a face has been detected in an image?
By checking the image size
By viewing the core variable for coordinates
By converting the image to RGB
By increasing the detection scale
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What function is used to display an image with detected face coordinates?
CV2.imshow
CV2.showImage
CV2.view
CV2.display
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which function is used to draw rectangles around detected faces?
CV2.rectangle
CV2.border
CV2.draw
CV2.shape
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the next step after detecting face coordinates to visualize them on an image?
Change the image resolution
Convert the image to grayscale
Use a for loop to draw rectangles
Increase the detection scale
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