Class 12 AI (843): Making Machine See PYQ | CBSE
Q1. When a computer processes an image, it perceives it as a collection of tiny squares. What are these tiny squares called?
a) Vectors
b) Pixels
c) Kernels
d) Neurons
Q2. A wildlife research organization is building a computer vision system to monitor animal movements in forests. They install motion-sensing cameras that automatically capture photos and videos of animals in their natural habitat for further analysis. The organization is currently working on which stage of the computer vision process?
a) Image Acquisition
b) Preprocessing
c) Feature Extraction
d) Detection and Segmentation
Q3. A security company is designing a computer vision system for night surveillance. The captured footage often contains random dots and blurry patches due to low lighting. To make the images clearer before object detection, the system applies a technique to remove these blurry patches and distortions. Which technique of Computer Vision process is being used by the system?
a) Cropping image
b) Noise Reduction
c) Resizing image
d) Image Normalization
Q4. Assertion (A): Social media posts and images are examples of structured data.
Reason (R): Unstructured data does not follow a predefined format.
a) Both (A) and (R) are true, and (R) is the correct explanation of (A).
b) Both (A) and (R) are true, but (R) is not the correct explanation of (A).
c) (A) is false, but (R) is true.
d) Both (A) and (R) are false.
Q5. The resolution of a digital image is determined by which factor?
a) The numerical value assigned to each pixel (0 to 255)
b) The number of pixels in the image
c) The size of the file in bytes
d) The time taken for image acquisition
Q6. A company is developing a smart security camera. The camera analyses each frame to automatically identify people, vehicles, and other objects. It marks each detected object by drawing bounding boxes around them. This activity of identifying and locating multiple objects of interest within the image by drawing bounding boxes is called:
a) Semantic Segmentation
b) Instance Segmentation
c) Object Detection
d) Histogram Equalization
Q7. What is the role of preprocessing images in the computer vision process? How is it different from High Level Processing?
