Computer Vision Class 10 MCQ

Computer Vision Class 10 MCQ – The CBSE has changed the syllabus of Std. X. The MCQs are made based on the new syllabus and based on the New CBSE textbook, Sample paper and Board Paper.  All the important Information are taken from the Artificial Intelligence Class X Textbook Based on CBSE Board Pattern.

Computer Vision Class 10 MCQ

1. What is the primary objective of the Convolution Layer in a Convolutional Neural Network (CNN)?
a. To flatten the input image
b. To assign importance to various aspects/objects in the image
c. To reduce the spatial size of the input image
d. To perform element-wise multiplication of image arrays

2. Which of the following tasks is an example of computer vision?
a. Rescaling an image
b. Correcting brightness levels in an image
c. Object detection in images or videos
d. Changing tones of an image

3. How is resolution typically expressed?
a. By the number of pixels along the width and height, such as 1280×1024
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

4. What is the core task of image classification?
a. Identifying objects and their locations in images
b. Segmenting objects into individual pixels
c. Assigning an input image one label from a fixed set of categories
d. Detecting instances of real-world objects in images

5. What is the function of the Rectified Linear Unit (ReLU) layer in a CNN?
a. To reduce the image size for more efficient processing
b. To assign importance to various aspects/objects in the input image
c. To get rid of negative numbers in the feature map and retain positive numbers
d. To perform the convolution operation on the input image

6. Object detection and handwriting recognition are examples of tasks commonly associated with:
a. Computer vision
b. Image processing
c. Both computer vision and image processing
d. Neither computer vision nor image processing

7. What does the pixel value represent in an image?
a. Width of the pixel
b. Brightness or color of the pixel
c. Height of the pixel
d. Resolution of the pixel

8. In the byte image format, what is the range of possible pixel values?
a. 0 to 10
b. 0 to 100
c. 0 to 1000
d. 0 to 255

9. In a grayscale image, what does the darkest shade represent?
a. Total presence of color
b. Zero value of pixel
c. Lightest shade of gray
d. Maximum pixel value

10. In an RGB image, what does a pixel with an intensity value of 0 represent?
a. Full presence of color
b. No presence of color
c. Maximum brightness level
d. Minimum brightness level

11. Assertion: Object detection is a more complex task than image classification because it involves identifying both the presence and location of objects in an image.
Reasoning: Object detection algorithms need to not only classify the objects present in an image but also accurately localize them by determining their spatial extent.
Select the appropriate option for the statements given above:
a. Both A and R are true and R is the correct explanation of A
b. Both A and R are true and R is not the correct explanation of A
c. A is true but R is false
d. A is False but R is true

12. Assertion: Grayscale images consist of shades of gray ranging from black to white, where each pixel is represented by a single byte, and the size of the image is determined by its height multiplied by its width.
Reasoning: Grayscale images are represented using a three intensities per pixel, typically ranging from 0 to 255.
Select the appropriate option for the statements given above:
a. Both A and R are true and R is the correct explanation of A
b. Both A and R are true and R is not the correct explanation of A
c. A is true but R is false
d. A is False but R is true

13. The _ concept of is used to apply face filters on various social media platforms. (CBSE 2023 – 2024)
a. NLP
b. Computer Vision
c. Data Science
d. Block chain Technology

14. A leading multinational company operates on a chain of hypermarkets and grocery stores deployed an AI application to make it easier for employees to keep their stores running smoothly. They used thousands of video cameras, weighted sensors on shelves, and other technologies that can tell employees when certain products is starting to go bad. One of the task of the application is to identify bananas that had started to turn brown, eliminating the need for employees to manually inspect fruit. Which of the following domain is used to achieve this?
a. Data sciences
b. Computer vision
c. Natural Language Processing
d. Fuzzy logic

15. An AI system uses two broad classes of data namely content data which includes the raw video streams title, description, etc, and user activity data that includes rating a video, favoriting/liking a video, or subscribing to an uploader, and watch time. Based on this, the AI system measures a user’s engagement and happiness. It then starts computing personalized recommendations to the user. Which of the following applications can you relate to this?
a. self-driving car
b. Siri
c. email filters
d. YouTube

16. With reference to AI domain, expand the term CV. (CBSE 2022 – 2023)

17. __ is the process of finding instances of real-world objects in images or videos.
a. Instance segmentation
b. Object detection
c. Classification
d. Image segmentation

18. _______is a domain of AI that depicts the capability of a machine to get and analyse visual information and afterwards predict some decisions about it.
a. NLP
b. Data Sciences
c. Augmented Reality
d. Computer Vision

19. In _, input to machines can be photographs, videos and pictures from thermal or infrared sensors, indicators and different sources.
a. Computer Vision
b. Data Acquisition
c. Data Collection
d. Machine learning

20. Anita and Surjit are creating an AI application chat will classify different type of fruits. The Computer Vision task tat will identify the type of fruit and assign a label to it is called __. (Board Paper 2025-26)
a. Segmentation
b. Classification
c. Classification + Localization
d. Object Detection

21. What is the range of possible pixel values in abyte image format? (Board Paper 2025-26)
a. 0 to 100
b. 0 to 255
c. 1 to 256
d. -128 to 127

22. Which of the following best descibes the relationship between pixels and image resolution? (Board Paper 2025-26)
a. More pixels result in lower image quility
b. Pixels and resolution are unrelated concepts.
c. Resoultion depends only on image file size.
d. The number of pixels in an image is known as resoultion.

23. In the context of computer vision vs image processing. which statemnt correctly differentiates them? (Board Paper 2025-26)
a. Computer Vision and Image Processing are exactly the same.
b. Computer Vision enhances the image while Image Processing does not.
c. Computer Vision is a superset of Image Processing.
d. Image Processing is a superset of Computer Vision.

24. What does the term “image processing” refer to in Computer Vision ? (Board Paper 2024-25)
a. Editing videos
b. Extracting meaningful information from images
c. Playing audio files
d. Compiling codes

25. In Computer Vision, which of the following tasks is used for single object ? (Board Paper 2024-25)
a. Object Detection
b. Classification + Localization
c. Instance Segmentation
d. Non-Localization

26. Which computer vision task involves both identifying what object is present in an image and determining the precise location of that object within the image? (Comp Board Paper 2024-25)
a. Image Classification
b. Object Detection
c. Instance Segmentation
d. Classification + Localisation

27. The Face Filter feature in Instagram is an application of __. (Comp Board Paper 2024-25)
a. NLP
b. Computer Vision
c. Data Science
d. Blockchain Technology

28. In computer vision which of the following tasks is used for multiple objects? (Board Paper 2023-24)
a. Classification
b. Classification + Localisation
c. Instance Segmentation
d. Localisation

29. Assertion (A): The term used to refer to the number of pixels in an image is resolution. (Board Paper 2023-24)
Reason (R): Resolution in an image denotes the total number of pixels it contains, usually represented as height × width.
a. Both (A) and (R) are true and (R) is the correct explanation for (A).
b. Both (A) and (R) are true and (R) is not the correct explanation for (A).
c. a. is true, but (R) is false.
d. a. is false, but (R) is true.

30. The concept of __ is used to apply face filters on various social media platforms. (Board Paper 2023-24)
a. NLP
b. Computer Vision
c. Data Science
d. Blockchain Technology

31. With reference to AI domain, expand the term CV. (Board Paper 2022-23)

32. _____ is mainly focused on enhancing raw input images or preparing them for other tasks, such as rescaling, correcting brightness, or changing tones. It is a subset of . (Sample Paper 2025-26)
a. Computer Vision; Image Processing
b. Machine Learning; Artificial Intelligence
c. Image Processing; Computer Vision
d. Object Detection; Image Processing

33. A self-driving car fails to detect pedestrians crossing at night, resulting in a near accident. Which domain of AI technology should be enhanced to improve safety? (Sample Paper 2025-26)
a. Natural Language Processing
b. Statistical Data
c. Recommendation Systems
d. Computer Vision

34. Identify the application of Computer Vision from the given picture: (Sample Paper 2025-26)

a. Facial Recognition
b. CV in Retail
c. Medical Imaging
d. Face Filters

35. The numbers 1280 x 1024, 1920 x 1080, and 640 x 480 represent the number of pixels in width and height of an image or display. What is the correct term used to describe this measurement? (Sample Paper 2025-26)
a. Pixel Depth
b. Resolution
c. Colour Depth
d. Classification

36. The term that refers to the process of identifying and locating real-world objects like faces, bicycles, or buildings in images or videos, and is used in applications such as image retrieval and automated vehicle parking systems is _. (Sample Paper 2025-26)

a. Image Classification
b. Image Segmentation
c. Object Detection
d. Feature Extraction

37. __ is the process of finding instances of real-world objects in images or videos. (Sample Paper 2024-25)
a. Instance segmentation
b. Object detection
c. Classification
d. Image segmentation

38. How many channels does a colour image have? (Sample Paper 2024-25)

39. __ means a picture element which is the smallest unit of information that makes up a picture. (Sample Paper 2024-25)
a. Vision
b. Pics
c. Pixel
d. Piskel

40. _______is a domain of AI that depicts the capability of a machine to get and analyse visual information and afterwards predict some decisions about it. (Sample Paper 2020-21)
a. NLP
b. Data Sciences
c. Augmented Reality
d. Computer Vision

41. Give one example of an application which uses augmented reality. (Sample Paper 2020-21)

42. In _, input to machines can be photographs, videos and pictures from thermal or infrared sensors, indicators and different sources. (Sample Paper 2020-21)
a. Computer Vision
b. Data Acquisition
c. Data Collection
d. Machine learning

43. In _, input to machines can be photographs, videos and pictures from thermal or infrared sensors, indicators and different sources. (Sample Paper 2020-21)
a. Computer Vision
b. Data Acquisition
c. Data Collection
d. Machine learning

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