Best 25+ Computer Vision MCQ

Computer Vision MCQ: Computer vision a subfield of artificial intelligence which helps to process visual information from the outside world just like a human how they process the image and videos.

Computer Vision MCQ

  1. What is the main purpose of computer vision?
    a. To replicate human vision
    b. To understand visual information
    c. To create 3D virtual environments
    d. To improve text-to-speech

  1. Which of the following method used to remove noise to improve the quality of the images?
    a. Object Recognition
    b. Feature Extraction
    c. Image Acquisition
    d. Preprocessing

  1. What do you mean by semantic segmentation?
    a. Categorizing each pixel in an image into a specific class
    b. Detecting the edges of the objects
    c. Recognizing and tracking objects in videos
    d. Labeling the image

  1. What kind of AI system is used to optimized certain field and a limited set of tasks?
    a. General AI
    b. Strong AI
    c. Narrow AI
    d. Weak AI

  1. What is the purpose of optical character recognition (OCR)?
    a. Detecting and tracking objects
    b. Classifying images based on content
    c. Converting Image to normal text
    d. Enhancing the quality of images

  1. In computer vision which method is used to categories the images based on their content?
    a. Object Detection
    b. Semantic Segmentation
    c. Feature Extraction
    d. Image Acquisition

  1. In computer vision which of the following method is used to detecting challenges in picture classification?
    a. RNN (Recurrent Neural Network)
    b. CNN (Convolutional Neural Network)
    c. ANN (Artificial Neural Network)
    d. LSTM (Long Short-Term Memory)

  1. What benefit are involved in computer vision to utilizing deep learning models over other approaches?
    a. They require smaller datasets for training.
    b. They are computationally less expensive.
    c. They can automatically learn hierarchical features from data.
    d. They are resistant to overfitting.

  1. Which computer vision task can find out pose or placement of objects or individuals inside a scene?
    a. Image Classification
    b. Object Tracking
    c. Semantic Segmentation
    d. Optical Character Recognition

  1. What is the name for the process of giving each pixel in an image a label which is frequently applied for fine grained object understanding?
    a. Image Classification
    b. Object Detection
    c. Object Tracking
    d. Semantic Segmentation



  1. Which of the following is NOT a part of the computer vision application?
    a. Autonomous driving
    b. Social media sharing
    c. Medical image analysis
    d. Weather prediction

  1. Which method of computer vision can used to finding and identifying particular occurrences of objects inside still or moving image frames?
    a. Image Acquisition
    b. Object Detection
    c. Feature Extraction
    d. Scene Understanding

  1. What is the word used in computer vision to describe the process of labeling complete images or video frames based on their content?
    a. Object Detection
    b. Image Classification
    c. Object Tracking
    d. Pose Estimation

  1. Which of the following computer vision applications, such as facial recognition and emotion analysis is often used?
    a. Object Detection
    b. Pose Estimation
    c. Image Classification
    d. Facial Recognition

  1. What is the primary objective of computer vision picture preprocessing?
    a. To add noise to the images
    b. To reduce the size of the images
    c. To enhance the quality of images for analysis
    d. To convert images to text

  1. What does “ROI” mean in computer vision?
    a. Region of Importance
    b. Range of Inference
    c. Region of Interest
    d. Recognition of Images

  1. Which method is applied in computer vision to determining the orientation or location of objects in a scene?
    a. Image Classification
    b. Object Tracking
    c. Pose Estimation
    d. Feature Extraction

  1. What kind of learning is applied in computer vision to train models on the based on data and discover patterns in the data?
    a. Reinforcement Learning
    b. Unsupervised Learning
    c. Deep Learning
    d. Supervised Learning

  1. Which of the following computer vision method DOES NOT used in healthcare industry?
    a. Radiology image interpretation
    b. Surgical robot control
    c. Weather prediction
    d. Disease diagnosis

  1. What method of computer vision used to comprehend the context and connections between the objects in a scene?
    a. Object Tracking
    b. Scene Understanding
    c. Image Acquisition
    d. Preprocessing



  1. What is the method used in computer vision to identify certain items or instances of things inside still or moving image frames?
    a. Object Tracking
    b. Pose Estimation
    c. Object Detection
    d. Image Classification

  1. What type of machine learning approach is frequently used in computer vision to check the motion of objects in video clips?
    a. Reinforcement Learning
    b. Unsupervised Learning
    c. Supervised Learning
    d. Object Tracking

  1. What is the name for the process of labeling photos based on their content or based on categories?
    a. Scene Understanding
    b. Object Detection
    c. Image Classification
    d. Feature Extraction

  1. What kind of AI system mimic human intelligence and carry out a activities just like a human being?
    a. Narrow AI
    b. Weak AI
    c. Strong AI
    d. General AI

  1. Which computer vision application involves to transform physical environments with digital data or building lifelike virtual ones?
    a. Robotics
    b. Augmented Reality (AR)
    c. Healthcare
    d. Object Tracking



Chapterwise MCQs on Artificial Intelligence

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