Students find these Class 10 AI MCQ Chapter 5 Computer Vision Class 10 MCQ Online Test with Answers helpful for self-assessment and preparation.
Class 10 AI Computer Vision MCQ
MCQ on Computer Vision Class 10
Class 10 Computer Vision MCQ – Computer Vision MCQ Class 10
Multiple Choice Questions:
Question 1.
The computer vision program is based on _____.
(a) Speaking
(b) Reading
(c) Understanding voice command
(d) Understanding the content of digital images
Answer:
(d) Understanding the content of digital images
Question 2.
Which one of these is not an example of computer vision?
(a) Image classification
(b) Speech segmentation
(c) Image segmentation
(d) Object detection
Answer:
(b) Speech segmentation
Question 3.
The resolution of most images we use is measured in
(a) RGB
(b) Pixels
(c) Grayscale
(d) HSV
Answer:
(b) Pixels
Question 4.
_____ 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
Answer:
(b) Object detection
Question 5.
Which of the following is open source computer vision library?
(a) SimpleCV
(b) OpenCV
(c) ComplexCV
(d) BoofCV
Answer:
(b) OpenCV
Question 6.
Which is the most common pixel format where this number is stored as an 8 -bit integer giving a range of possible values from 0 to 255 ?
(a) Byte image
(b) Resolution
(c) Pixel
(d) Grayscale
Answer:
(d) Grayscale
Question 7.
Which layer is CNN is responsible for increasing the non-linear properties of the trained networks?
(a) ReLU
(b) Input layer
(c) Pooling layer
(d) Output layer
Answer:
(a) ReLU
Question 8.
Which of the following is an example of image classification in computer vision?
(a) Price prediction
(b) Photo albums in smartphones
(c) Trend setting
(d) Facelock in smartphone
Answer:
(b) Photo albums in smartphones
Question 9.
_____ means a picture element which is the smallest unit of information that makes up a picture.
(a) Vision
(b) Pics
(c) Pixel
(d) Piskel
Answer:
(c) Pixel
Question 10.
In computer vision which of the following tasks is used for multiple objects?
(a) Classification
(b) Classification + Localisation
(c) Instance Segmentation
(d) Localisation
Answer:
(c) Instance Segmentation
Question 11.
Which of the following algorithms is commonly used for image classification?
(a) K-means clustering
(b) Decision trees
(c) Convolutional Neural Networks (CNN)
(d) Support Vector Machines (SVM)
Answer:
(c) Convolutional Neural Networks (CNN)
Question 12.
Which of the following is an Applications of Computer Vision?
(a) Robotics
(b) Medicine
(c) Security
(d) All of these
Answer:
(d) All of these
Question 13.
What is the primary purpose of a Convolutional Neural Network (CNN)?
(a) Object detection
(b) Image classification
(c) Text generation
(d) Reinforcement learning
Answer:
(b) Image classification
Question 14.
Which layer type is typically used to extract local features in a CNN?
(a) Convolutional layer
(b) Pooling layer
(c) Fully connected layer
(d) Activation layer
Answer:
(a) Convolutional layer
Question 15.
What is the purpose of the pooling layer in a CNN?
(a) To reduce the spatial dimensions of the feature maps
(b) To introduce non-linearity to the network
(c) To adjust the weights and biases of the network
(d) To compute the gradients for backpropagation
Answer:
(a) To reduce the spatial dimensions of the feature maps
Question 16.
Which activation function is commonly used in the convolutional layers of a CNN?
(a) ReLU (Rectified Linear Unit)
(b) Sigmoid
(c) Tanh (Hyperbolic Tangent)
(d) Softmax
Answer:
(a) ReLU (Rectified Linear Unit)
Question 17.
Which layer type is responsible for making final predictions in a CNN?
(a) Convolutional layer
(b) Pooling layer
(c) Fully connected layer
(d) Activation layer
Answer:
(c) Fully connected layer
Question 18.
What is the purpose of the filter/kernel in a convolutional layer?
(a) To determine the number of neurons in the layer
(b) To specify the size of the feature maps
(c) To extract local features from the input data
(d) None of the above
Answer:
(c) To extract local features from the input data
Statement Based Questions:
Question 1.
Statement 1 Computer vision is one of the most important fields of artificial intelligence (AI) Statement 2 It is capable of extracting meaningful information from visual data like videos and images.
(a) Both Statement 1 and Statement 2 are correct
(b) Both Statement 1 and Statement 2 are incorrect
(c) Statement 1 is correct but Statement 2 is incorrect
(d) Statement 2 is correct but Statement 1 is incorrect
Answer:
(a) Both Statement 1 and Statement 2 are correct
Question 2.
Statement 1 Computer vision has enabled machines to detect face images of people to verify their identity. Statement 2 Facebook also use facial recognition to detect and tag users.
(a) Both Statement 1 and Statement 2 are correct
(b) Both Statement 1 and Statement 2 are incorrect
(c) Statement 1 is correct but Statement 2 is incorrect
(d) Statement 2 is correct but Statement 1 is incorrect
Answer:
(a) Both Statement 1 and Statement 2 are correct
Question 3.
Statement 1 A Convolutional Neural Network (CNN) is a type of deep learning algorithm that is particularly well-suited for image recognition and processing tasks.
Statement 2 Fully connected layer is the second layer of CNN.
(a) Both Statement 1 and Statement 2 are correct
(b) Both Statement 1 and Statement 2 are incorrect
(c) Statement 1 is correct but Statement 2 is incorrect
(d) Statement 2 is correct but Statement 1 is incorrect
Answer:
(c) Statement 1 is correct but Statement 2 is incorrect
Question 4.
Statement 1 A pixel is defined as the smallest element of a digital image.
Statement 2 Pixel resolution is the total pixel count in a digital image.
(a) Both Statement 1 and Statement 2 are correct
(b) Both Statement 1 and Statement 2 are incorrect
(c) Statement 1 is correct but Statement 2 is incorrect
(d) Statement 2 is correct but Statement 1 is incorrect
Answer:
(a) Both Statement 1 and Statement 2 are correct
Assertion & Reason Based Questions:
Question 1.
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 x 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.
Answer:
(a) Both A and R are true and R is the correct explanation for A.
Question 2.
Assertion (A) Pooling layers down sample the spatial dimensions of the input, reducing the computational complexity and the number of parameters in the network.
Reason (R) Max pooling is a common pooling operation, selecting the maximum value from a group of neighboring pixels.
(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.
Answer:
(b) Both A and R are true and R is not the correct explanation for A.
Question 3.
Assertion (A) With the use of computer vision, autonomous vehicles can understand their environment.
Reason (R) The autonomous vehicle can navigate streets and highways on its own, swerve around obstructions, and get its passengers where they need to go safely.
(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.
Answer:
(a) Both A and R are true and R is the correct explanation for A.
Question 4.
Assertion (A) Image Classification involves categorising images into predefined classes or categories, such as animals, vehicles, or buildings.
Reason (R) Image detection is identifying and classifying human actions within an image or video stream.
(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.
Answer:
(c) A is true, but R is false.
The post Computer Vision Class 10 MCQ Online Test appeared first on Learn CBSE.