MCQs

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Overall MCQs for Reference

What is a fundamental goal of Visual AI in artificial intelligence?
a. Understanding natural language
b. Visual perception and analysis
c. Predicting stock prices
d. Developing quantum computers
Answer: b. Visual perception and analysisaimcqs
Which technique is commonly used for edge detection in computer vision?
a. SVM
b. Canny
c. GAN
d. Multilayer Perceptron
Answer: b. Cannyaimcqs
Which of the following is NOT a core application of Visual AI?
a. Image recognition
b. Speech synthesis
c. Object detection
d. Facial recognition
Answer: b. Speech synthesiswayground
In Visual AI, what does “object detection” refer to?
a. Labeling pixels in an image
b. Identifying and locating objects within images
c. Translating spoken language
d. Mining user data
Answer: b. Identifying and locating objects within imageswayground
What is the primary purpose of content-based image retrieval in visual AI?
a. Translating documents
b. Searching for images using visual features
c. Encrypting images
d. Counting words in text
Answer: b. Searching for images using visual featurestestbook
Which Visual AI capability is crucial in autonomous vehicles?
a. Grammar checking
b. Real-time object detection
c. Syntax highlighting
d. Battery monitoring
Answer: b. Real-time object detectionwayground
Which domain uses computer vision for medical image analysis?
a. Agriculture
b. Healthcare
c. Retail
d. Aviation
Answer: b. Healthcarewayground
Which of the following is a fundamental task in computer vision?
a. Sorting emails
b. Image classification
c. Audio mixing
d. HTML coding
Answer: b. Image classificationwayground
What visual AI technique is used for facial recognition?
a. Face embedding
b. Speech tagging
c. Sentiment analysis
d. Data mining
Answer: a. Face embeddingtestbook+1
Which algorithm is frequently used for feature extraction in images?
a. SIFT
b. LSTM
c. RNN
d. AdaBoost
Answer: a. SIFTaimcqs
The ability of a system to classify road signs from camera images in real-time is essential for:
a. Virtual reality
b. Autonomous driving
c. Video streaming
d. Language translation
Answer: b. Autonomous drivingwayground
What is semantic segmentation?
a. Dividing an image into meaningful parts
b. Translating words
c. Compressing videos
d. Sorting log files
Answer: a. Dividing an image into meaningful partswayground
In Visual AI, which term denotes assigning labels to pixels based on their characteristics?
a. Speech synthesis
b. Semantic segmentation
c. Supervised learning
d. Text mining
Answer: b. Semantic segmentationwayground
Which AI model is widely used for image classification?
a. Convolutional Neural Network (CNN)
b. Generative Adversarial Network (GAN)
c. BERT
d. Naive Bayes
Answer: a. Convolutional Neural Network (CNN)gyansetu
Which of the following is a text-to-image generative model?
a. DALL·E
b. BERT
c. SVM
d. CNN
Answer: a. DALL·Egyansetu
What type of data is primarily used in computer vision tasks?
a. Text
b. Audio
c. Images
d. Tabular
Answer: c. Imageswayground
Which process is NOT involved in computer vision-based image processing?
a. Acquiring images
b. Deleting images
c. Screening images
d. Analyzing images
Answer: b. Deleting imagestutorialaicsip
Which visual AI capability allows face unlock in smartphones?
a. Speech synthesis
b. Computer vision
c. Neural translation
d. Genetic algorithm
Answer: b. Computer visionscribd
The application of visual AI in security systems is seen in:
a. Intrusion detection
b. Facial recognition
c. Packet filtering
d. Web crawling
Answer: b. Facial recognitionscribd
Which learning model is used for identifying objects in real-time videos?
a. Reinforcement Learning
b. Deep Learning
c. Linear Regression
d. Rule-Based System
Answer: b. Deep Learningwayground
Which algorithm is well-known for detecting key points in images?
a. Harris Corner Detector
b. PageRank
c. Apriori
d. DBSCAN
Answer: a. Harris Corner Detectoraimcqs
What is one challenge of Visual AI in autonomous vehicles?
a. Poor internet connectivity
b. Real-time obstacle recognition
c. Low battery
d. Weak radio signals
Answer: b. Real-time obstacle recognitionwayground
Which aspect of Visual AI is used in medical diagnosis from x-ray images?
a. Image classification
b. Sentiment analysis
c. Document clustering
d. Syntax parsing
Answer: a. Image classificationwayground
Which is an example of unsupervised learning in visual AI?
a. Clustering images by similarity
b. Training speech models
c. Counting tree leaves
d. Encrypting files
Answer: a. Clustering images by similaritywayground
Which Visual AI tool can generate videos using AI?
a. Synthesia
b. Canva
c. Photoshop
d. AutoCAD
Answer: a. Synthesiagyansetu
What is a “feature map” in CNN architectures?
a. A visual representation of layer outputs
b. A geographic location chart
c. A password list
d. An encryption key
Answer: a. A visual representation of layer outputsgyansetu
Which sensor type is most closely associated with computer vision?
a. Gas sensor
b. Camera sensor
c. Microphone
d. Thermometer
Answer: b. Camera sensoriotmumbai.bharatividyapeeth
Which application uses visual AI for waste management?
a. Sentiment analysis
b. Object recognition in images
c. Speech-to-text conversion
d. Spell checking
Answer: b. Object recognition in imagesscribd
Which platform uses visual recognition for content moderation?
a. Instagram
b. Excel
c. PowerPoint
d. WhatsApp
Answer: a. Instagramscribd
Where is deep learning particularly effective in visual AI?
a. Large-scale image data analysis
b. Real-time translation
c. SQL queries
d. IoT device management
Answer: a. Large-scale image data analysiswayground
Which model type does Midjourney use?
a. Text-only processing
b. Image generation
c. Audio classification
d. Time series prediction
Answer: b. Image generationgyansetu
Visual AI in satellite imaging is used for:
a. Predicting weather
b. Earth observation and terrain analysis
c. Signal boosting
d. Generating passwords
Answer: b. Earth observation and terrain analysisscribd
What is “data annotation” in Visual AI?
a. Labeling images for model training
b. Encrypting files
c. Predicting accuracy
d. Building neural networks
Answer: a. Labeling images for model trainingwayground
Which is a popular open-source computer vision library?
a. PyTorch
b. Scikit-learn
c. OpenCV
d. Numpy
Answer: c. OpenCVaimcqs
Which visual AI technique transforms images into low-dimensional vectors?
a. Feature extraction
b. Clustering
c. Summarization
d. Sentiment scoring
Answer: a. Feature extractionaimcqs
What is a “bounding box” in object detection?
a. A rectangular frame around an object in an image
b. The filename of an image
c. An annotation for an audio file
d. A type of encryption algorithm
Answer: a. A rectangular frame around an object in an imagewayground
Which generative AI technique is used to create realistic human faces?
a. GANs
b. SVM
c. Linear Regression
d. Naive Bayes
Answer: a. GANsgyansetu
In Visual AI, “multimodal input” refers to:
a. Text and audio data
b. Images, text, and audio simultaneously
c. Only image data
d. Numeric data
Answer: b. Images, text, and audio simultaneouslygyansetu
What capability allows ChatGPT to interpret images?
a. Multimodal input
b. Supervised learning
c. Regression analysis
d. Spam filtering
Answer: a. Multimodal inputgyansetu
Which term denotes AI-generated video content?
a. Deepfake
b. Semantic web
c. Text generation
d. Clustering
Answer: a. Deepfakegyansetu
What’s a key advantage of deep learning models in image processing?
a. Automatic feature learning
b. Manual data labeling
c. Predicting weather patterns
d. Instant database updates
Answer: a. Automatic feature learningwayground
What is a “heatmap” in visual AI analysis?
a. Visual display of focus areas over an image
b. Weather forecasting tool
c. Audio mixing technique
d. Spreadsheet function
Answer: a. Visual display of focus areas over an imagewayground
What computer vision technology is used in biometric authentication?
a. Facial recognition
b. Text mining
c. Data encryption
d. Network mapping
Answer: a. Facial recognitiontestbook
Which task is performed by image classification models?
a. Assigning category labels to images
b. Generating passwords
c. Translating documents
d. Recording user keystrokes
Answer: a. Assigning category labels to imageswayground
What is the main use of image segmentation?
a. Identifying distinct regions within an image
b. Formatting hard drives
c. Indexing web pages
d. Sorting emails
Answer: a. Identifying distinct regions within an imagewayground
Which tool supports annotation and labeling for visual datasets?
a. LabelImg
b. Notepad
c. Excel
d. Audacity
Answer: a. LabelImgwayground
Which computer vision task is critical for AR filters in social apps?
a. Face and landmark detection
b. Spell checking
c. Word prediction
d. Social graph analysis
Answer: a. Face and landmark detectionscribd
In visual AI, what is overfitting?
a. Model learns noise instead of useful features
b. Model performs fast data entry
c. Model predicts high accuracy always
d. Model only processes large images
Answer: a. Model learns noise instead of useful featureswayground
Which AI paradigm is most used in self-driving cars for perception?
a. Deep learning (CNNs, RNNs)
b. Symbolic reasoning
c. Genetic algorithms
d. Spiking neural networks
Answer: a. Deep learning (CNNs, RNNs)wayground
What is transfer learning in visual AI?
a. Reusing pretrained models for new tasks
b. Encrypting image data
c. Ignoring training sets
d. Generating synthetic images
Answer: a. Reusing pretrained models for new taskswayground

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