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c. Assigning an input image one label from a fixed set of categories
d. Detecting instances of real-world objects in images
3. Which of the following type of data does Computer Vision primarily work with?
a. Audio signals b. Video and image data
c. Text data d. Location data
4. Which of the following is the real-world example of image processing?
a. Self-driving cars b. Automated surveillance systems
c. Removing red-eye effects in photos d. Virtual Reality devices
5. Object detection and handwriting recognition are examples of tasks commonly associated with: [CBSE Handbook]
a. Computer Vision b. Image processing
c. Both a and b d. None of these
6. How is resolution typically expressed? [CBSE Handbook]
a. By the number of pixels along the width and height, such as 1280x1024
b. By the brightness level of each pixel, ranging from 0 to 255
c. By the total number of pixels, such as 5 megapixels
d. By the arrangement of pixels in a 2-dimensional grid
B. Fill in the blanks.
1. A ………………………. algorithm takes an image as input and outputs a collection of regions (or segments).
2. In the Google Translate app, ………………………. technology helps translate text by recognising words in images.
3. A pixel value of [0, 0, 255] means maximum ………………………. intensity.
4. ………………………. is the process of division of an image into smaller objects so that the machine can identify an object
from the background.
5. Facial recognition in smart homes helps ensure ………………………. by allowing only trusted individuals to enter.
C. State whether these statements are true or false.
1. Computer Vision is limited to image processing and cannot perform tasks like object recognition. ……….……
2. Machine learning algorithms are not used in Computer Vision. ……….……
3. Retailers use Computer Vision to track customer behaviour and optimise inventory management. ……….……
4. Colour of a pixel is determined by the number of colours it represents. ……….……
5. Modern apps like Instagram and Snapchat heavily rely on Computer Vision to offer fun and interactive
features. ……….……
SECTION B (Subjective Type Questions)
A. Short answer type questions.
1. How an RGB image is different from a grayscale image? [CBSE Handbook]
2. What do you mean by Instance Segmentation?
3. What is a Pixel? Give any two important features of a Pixel in a digital image.
4. What is the use of Google Translate app?
5. Give two uses of Computer Vision in medical imaging?
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