Exploring Image Processing and ML Concepts

Exploring Image Processing and ML Concepts

University

15 Qs

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Exploring Image Processing and ML Concepts

Exploring Image Processing and ML Concepts

Assessment

Quiz

Other

University

Practice Problem

Medium

Created by

avyukth sudhesh

Used 1+ times

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15 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of image resizing in preprocessing?

To reduce file size for faster loading times.

To apply filters for artistic effects.

To enhance image color saturation for better visibility.

To standardize image dimensions for uniformity and improved model performance.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does cropping an image affect its dimensions?

Cropping an image decreases its dimensions by removing parts of the image.

Cropping an image only changes its color, not its size.

Cropping an image increases its dimensions by adding more space.

Cropping an image has no effect on its dimensions at all.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What function is used to read an image in OpenCV?

cv2.imread()

cv2.getImage()

cv2.loadImage()

cv2.readImage()

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which function displays an image in a window using OpenCV?

cv2.showImage()

cv2.displayImage()

cv2.render()

cv2.imshow()

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does HSV stand for in color space representation?

Hue, Saturation, Value

Hue, Saturation, Brightness

High, Standard, Value

Hue, Saturation, Lightness

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you convert an image to HSV color space using OpenCV?

Use cv2.convertColor(image, cv2.COLOR_RGB2HSV)

Transform image using cv2.toHSV(image)

Use cv2.cvtColor(image, cv2.COLOR_BGR2HSV)

Apply cv2.changeColor(image, cv2.COLOR_BGR2HSV)

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the cv2.inRange function?

To resize an image to a specified dimension.

To create a binary mask based on a specified range of pixel values.

To enhance the color saturation of an image.

To apply a Gaussian blur effect on an image.

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