Computer Vision MCQ: Computer vision, a subfield of artificial intelligence (AI) and computer science, is to enable robots to grasp, interpret, and process visual information from the outside world—such as images and videos—in a manner similar to how humans do.
Computer Vision MCQ With Revision Notes
Tasks Associated with Computer Vision –
- Image Classification: Labeling or classifying pictures in accordance with their contents, for as deciding whether a picture comprises a cat or a dog.
- Object Detection: Object detection is the process of locating and identifying specific items or instances of objects inside still or moving image frames. This is used by programs like facial recognition and pedestrian detection, among others.
- Semantic Segmentation: Semantic segmentation is the process of categorizing an image pixel-by-pixel to assign each pixel to a certain class or group. It is particularly useful for understanding the content of images.
- Optical Character Recognition (OCR): The process of finding and converting printed or handwritten text present in images into text that computers can read is known as optical character recognition (OCR).
- Pose Estimation: Pose estimate is the technique of determining how individuals or objects are posed within a scene. observing a person’s posture and movement, for example.
- Object Tracking: Object tracking means when the object’s can be identified in the video sequences in the real-time feeds or video clips.
Applications of Computer Vision (in short)
Numerous industries use computer vision in a variety of ways, including:
- Healthcare: In Healthcare services, nowadays the images or disease are diagnosed with the help of Computer Vision, Computer Vision also helps to make treatment planning, radiology image interpretation and surgery assistance.
- Automotive: World wide the biggest challenge is traffic control but now Computer Vision recognition road sign and vehicle number plate reading. It also helps in cars for automatic steering, automatic braking, and road sign recognition.
- Retail: Now a day inventory management system, automated checkout and consumer behavior analysis can be done using Computer Vision.
- Security and Surveillance: Computer Vision can be used in Security and Surveillance purposes for example it can help in video surveillance, auto facial recognition and anomaly detection.
- Entertainment: In Entertainment there are many areas where Computer Vision are used, for example virtual reality activities, augmented reality applications, and special effects in movies.
- Agriculture: Computer Vision can detect the disease in agriculture; it can monitor the crops and also used in automated farming equipment.
- Manufacturing: In manufacturing companies production line defect detection can be done by Computer Vision, robotic assembly, and quality control are also checked by Computer Vision.
- Robotics: The navigation and manipulation of objects using vision.
- Augmented Reality (AR) and Virtual Reality (VR): The concepts of augmented reality (AR) and virtual reality (VR) are the enhancement of real-world situations with digital information or the creation of immersive virtual settings.
Computer Vision MCQ
- 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
- 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
- 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
- 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
- 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
- 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
- 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)
- 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.
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- What does “ROI” mean in computer vision?
a. Region of Importance
b. Range of Inference
c. Region of Interest
d. Recognition of Images
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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