Class 10 Artificial Intelligence

Computer Vision

24 Class 10 Artificial Intelligence questions on Computer Vision from the CBSE board papers 2023–2026, each with its answer and a step-by-step solution.

Questions · page 1 of 2

Q1 CBSE 2026
Anita and Surjit are creating an AI application that will classify different types of fruits. The Computer Vision task that will identify the type of fruit and assign a label to it is called _________.
1. (a)Segmentation
2. (b)Classification
3. (c)Classification + Localization
4. (d)Object Detection
Show answer

(b) Classification

Step-by-step solution →
Q2 CBSE 2026
Analyze how Computer Vision technology has revolutionized the automotive industry, particularly in autonomous vehicles. What is the primary function it serves ?
1. (a)Managing fuel efficiency and engine performance.
2. (b)Controlling audio and entertainment systems.
3. (c)Identifying objects, navigation routes, and environment monitoring for safe autonomous driving.
4. (d)Handling vehicle maintenance scheduling.
Show answer

(c) Identifying objects, navigation routes, and environment monitoring for safe autonomous driving.

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Q3 CBSE 2026
What is the range of possible pixel values in a byte image format ?
1. (a)0 to 100
2. (b)0 to 255
3. (c)1 to 256
4. (d)–128 to 127
Show answer

(b) 0 to 255

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Q4 CBSE 2026
In a $1280 \times 1024$ monitor resolution, what does this specification indicate ?
1. (a)The monitor can display $1280$ colours with $1024$ brightness levels.
2. (b)There are $1280$ pixels horizontally and $1024$ pixels vertically.
3. (c)The monitor weighs $1280$ grams and is $1024$ mm wide.
4. (d)The refresh rate is $1280$ Hz with $1024$ frames per second.
Show answer

(b) There are $1280$ pixels horizontally and $1024$ pixels vertically.

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Q5 CBSE 2026
Which of the following best describes the relationship between pixels and image resolution ?
1. (a)More pixels result in lower image quality.
2. (b)Pixels and resolution are unrelated concepts.
3. (c)Resolution depends only on image file size.
4. (d)The number of pixels in an image is known as resolution.
Show answer

(d) The number of pixels in an image is known as resolution.

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Q6 CBSE 2026

With respect to Computer Vision, the Classification + Localisation task can only be used for single objects.

Show answer

True

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Q7 CBSE 2026
In the context of Computer Vision vs Image Processing, which statement correctly differentiates them ?
1. (a)Computer Vision and Image Processing are exactly the same.
2. (b)Computer Vision enhances the image while Image Processing does not.
3. (c)Computer Vision is a superset of Image Processing.
4. (d)Image Processing is a superset of Computer Vision.
Show answer

(c) Computer Vision is a superset of Image Processing.

Step-by-step solution →
Q8 CBSE 2026
Read the Assertion (A) and the Reason (R) given below and select the correct option.
Assertion (A): Computer Vision enables AI to see, observe and make sense of visual data like images and videos.
Reason (R): Computer Vision works independently without requiring artificial intelligence algorithms.
1. (a)Both (A) and (R) are true, and (R) is the correct explanation of (A).
2. (b)Both (A) and (R) are true, but (R) is not the correct explanation of (A).
3. (c)(A) is true, but (R) is false.
4. (d)(A) is false, but (R) is true.
Show answer

(c) (A) is true, but (R) is false.

Step-by-step solution →
Q9 CBSE 2026

How do computers store RGB images ?

Show answer

An RGB image is stored as red, green and blue channels, each with a value from 0 to 255 for every pixel.
An RGB image is stored as three channels, Red, Green and Blue. Each holds one value per pixel, 0 to 255; the three values together give that pixel its colour.

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Q10 CBSE 2026
With reference to Computer Vision, define the following terms :
1. (a)Pixel
2. (b)Instance Segmentation
Show answer

A pixel is a picture element; instance segmentation detects each object, gives it a category and labels every pixel.
(a) Pixel means picture element, the smallest unit of information that makes up a picture. (b) Instance Segmentation detects each object instance, gives it a category and labels each pixel.

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Q11 CBSE 2025
What does the term “image processing” refer to in Computer Vision ?
1. (a)Editing videos
2. (b)Extracting meaningful information from images
3. (c)Playing audio files
4. (d)Compiling codes
Show answer

(b) Extracting meaningful information from images

Step-by-step solution →
Q12 CBSE 2025
In Computer Vision, which of the following tasks is used for single object ?
1. (a)Object Detection
2. (b)Classification + Localization
3. (c)Instance Segmentation
4. (d)Non-Localization
Show answer

(b) Classification + Localization

Step-by-step solution →
Q13 CBSE 2025
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 ?
1. (a)Image Classification
2. (b)Object Detection
3. (c)Instance Segmentation
4. (d)Classification + Localisation
Show answer

(d) Classification + Localisation

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Q14 CBSE 2025
Statement 1 : Various search engines and e-commerce portals now have a new feature called image-based search using computer vision. Statement 2 : Image-based search helps in finding items, people and places by giving their sounds to the system.
1. (a)Both Statement 1 and Statement 2 are correct.
2. (b)Both Statement 1 and Statement 2 are incorrect.
3. (c)Statement 1 is correct but Statement 2 is incorrect.
4. (d)Statement 2 is correct but Statement 1 is incorrect.
Show answer

(c) Statement 1 is correct but Statement 2 is incorrect.

Step-by-step solution →
Q15 CBSE 2025
The Face Filter feature in Instagram is an application of __________.
1. (a)NLP
2. (b)Computer Vision
3. (c)Data Science
4. (d)Blockchain Technology
Show answer

(b) Computer Vision

Step-by-step solution →
Q16 CBSE 2025
Read the Assertion (A) and the Reason (R) given below and select the correct option.
Assertion (A): The less pixels you have, the better is the image quality.
Reason (R): Resolution refers to the number of pixels per unit of area in an image, determining its clarity and detail.
1. (a)Both Assertion (A) and Reason (R) are true and Reason (R) is the correct explanation of Assertion (A).
2. (b)Both Assertion (A) and Reason (R) are true, but Reason (R) is not the correct explanation of Assertion (A).
3. (c)Assertion (A) is true, but Reason (R) is false.
4. (d)Assertion (A) is false, but Reason (R) is true.
Show answer

(d) Assertion (A) is false, but Reason (R) is true.

Step-by-step solution →
Q17 CBSE 2025

Give any two key impacts of Computer Vision on medical imaging.

Show answer

It improves diagnostic accuracy by analysing scans and turns 2D scans into interactive 3D models that help doctors.
Computer Vision improves diagnostic accuracy by analysing medical scans and detecting disease earlier. It also turns 2D scans into interactive 3D models that help doctors understand the condition.

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Q18 CBSE 2025
Name the tasks used in Computer Vision applications for :
1. (a)Single objects
2. (b)Multiple objects
Show answer

Classification and Classification + Localisation are for single objects; Object Detection and Instance Segmentation for multiple objects.
(a) Single objects: Classification, and Classification + Localisation. (b) Multiple objects: Object Detection, and Instance Segmentation.

Step-by-step solution →
Q19 CBSE 2024
In computer vision which of the following tasks is used for multiple objects ?
1. (a)Classification
2. (b)Classification + Localisation
3. (c)Instance Segmentation
4. (d)Localisation
Show answer

(c) Instance Segmentation

Step-by-step solution →
Q20 CBSE 2024
Read the Assertion (A) and the Reason (R) given below and select the correct option.
Assertion (A): The term used to refer to the number of pixels in an image is resolution.
Reason (R): Resolution in an image denotes the total number of pixels it contains, usually represented as height × width.
1. (a)Both (A) and (R) are true and (R) is the correct explanation for (A).
2. (b)Both (A) and (R) are true and (R) is not the correct explanation for (A).
3. (c)(A) is true, but (R) is false.
4. (d)(A) is false, but (R) is true.
Show answer

(a) Both (A) and (R) are true and (R) is the correct explanation for (A).

Step-by-step solution →