Computer Vision MCQs
/ Study / computer-vision-mcq
20-Nov-2025, 01:38 pm 86 Views
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
Answer : b. To understand visual information
2. 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
Answer : d. Preprocessing
3. 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
Answer : a. Categorizing each pixel in an image into a specific class
4. 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
Answer : c. Narrow AI
5. 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
Answer : c. Recognizing and converting text in images into machine-readable text
6. 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
Answer : a. Object Detection
7. 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)
Answer : b. CNN (Convolutional Neural Network)
8. 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.
Answer : c. They can automatically learn hierarchical features from data.
9. 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
Answer : b. Object Tracking
10. 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
Answer : d. Semantic Segmentation
11. 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
Answer : d. Weather prediction
12. 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
Answer : b. Object Detection
13. 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
Answer : b. Image Classification
14. 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
Answer : d. Facial Recognition
15. 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
Answer : c. To enhance the quality of images for analysis
16. What does “ROI” mean in computer vision?
a. Region of Importance
b. Range of Inference
c. Region of Interest
d. Recognition of Images
Answer : c. Region of Interest
17. 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
Answer : c. Pose Estimation
18. 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
Answer : c. Deep Learning
19. 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
Answer : c. Weather prediction
20. 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
Answer : b. Scene Understanding
21. 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
Answer : c. Object Detection
22. 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
Answer : d. Object Tracking
23. 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
Answer : c. Image Classification
24. 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
Answer : d. General AI
25. 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
Answer : b. Augmented Reality (AR)
a. To replicate human vision
b. To understand visual information
c. To create 3D virtual environments
d. To improve text-to-speech
Answer : b. To understand visual information
2. 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
Answer : d. Preprocessing
3. 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
Answer : a. Categorizing each pixel in an image into a specific class
4. 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
Answer : c. Narrow AI
5. 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
Answer : c. Recognizing and converting text in images into machine-readable text
6. 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
Answer : a. Object Detection
7. 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)
Answer : b. CNN (Convolutional Neural Network)
8. 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.
Answer : c. They can automatically learn hierarchical features from data.
9. 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
Answer : b. Object Tracking
10. 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
Answer : d. Semantic Segmentation
11. 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
Answer : d. Weather prediction
12. 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
Answer : b. Object Detection
13. 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
Answer : b. Image Classification
14. 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
Answer : d. Facial Recognition
15. 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
Answer : c. To enhance the quality of images for analysis
16. What does “ROI” mean in computer vision?
a. Region of Importance
b. Range of Inference
c. Region of Interest
d. Recognition of Images
Answer : c. Region of Interest
17. 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
Answer : c. Pose Estimation
18. 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
Answer : c. Deep Learning
19. 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
Answer : c. Weather prediction
20. 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
Answer : b. Scene Understanding
21. 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
Answer : c. Object Detection
22. 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
Answer : d. Object Tracking
23. 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
Answer : c. Image Classification
24. 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
Answer : d. General AI
25. 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
Answer : b. Augmented Reality (AR)
Computer Vision MCQs
| India | |
| Computer 👇👇 | |
 22-Nov-2025, 04:38 pm | Computer Programming Language Python 100+ MCQ |
 20-Nov-2025, 01:30 pm | Data Science MCQs |
 17-Oct-2025, 12:05 pm | Top 100 GK Computer Questions Answers in Hindi and English |
Vidya Bhaskar November 2024 to October 2025 PDF : विद्या भास्कर नवंबर 2024 से अक्टूबर 2025 One Liner डाउनलोड करें
Vidya Bhaskar September 2025: विद्या भास्कर सितम्बर 2025, डाउनलोड करें विद्या भास्कर मंथली करेंट अफेयर्स PDF
Satellite Internet Technology An Overview Handout, Hindi and English Edition / सैटेलाइट इंटरनेट टेक्नोलॉजी का एक संक्षिप्त विवरण - हैंडआउट, हिंदी और अंग्रेजी संस्करण
Vidya Bhaskar August 2025: विद्या भास्कर अगस्त 2025, डाउनलोड करें विद्या भास्कर मंथली करेंट अफेयर्स PDF
Vidya Bhaskar Aug 2024 to July 2025 PDF : विद्या भास्कर अगस्त 2024 से जुलाई 2025 One Liner डाउनलोड करें
Vidya Bhaskar May 2025: विद्या भास्कर मई 2025, डाउनलोड करें विद्या भास्कर मंथली करेंट अफेयर्स PDF
Vidya Bhaskar June 2025: विद्या भास्कर जून 2025, डाउनलोड करें विद्या भास्कर मंथली करेंट अफेयर्स PDF
Vidya Bhaskar July 2025: विद्या भास्कर जुलाई 2025, डाउनलोड करें विद्या भास्कर मंथली करेंट अफेयर्स PDF
All Magazine Editions - Vidya Bhaskar and Current Affairs Booster, Download Free PDFKnowledge Center
More
..