Computer Vision in Cloud AI/ML: Image and Object Recognition

Question 1

Which of the following is NOT a key application of computer vision in the cloud?

Accepted Answer

Spam email classification

Answer

Object detection and recognition

Answer

Medical image diagnostics

Answer

Predictive maintenance

Question 2

Which of the following is NOT a primary application of computer vision in cloud AI/ML?

Accepted Answer

Natural language generation

Answer

Image classification

Answer

Object detection

Answer

Facial recognition

Question 3

Which of the following is NOT a typical application of computer vision in cloud AI/ML?

Accepted Answer

Spam email detection

Answer

Medical image analysis

Answer

Surveillance and security

Answer

Autonomous driving

Question 4

Which of the following is NOT a major provider of cloud-based services for computer vision development?

Accepted Answer

Answer

Amazon Web Services

Answer

Google Cloud

Answer

IBM Cloud

Question 5

Which of these is **NOT** a primary ethical concern when using computer vision systems?

Accepted Answer

Environmental impact

Answer

Data privacy

Answer

Bias and discrimination

Answer

Transparency and accountability

Question 6

Which of the following is NOT a common use case for computer vision in cloud AI/ML?

Accepted Answer

Weather forecasting

Answer

Medical diagnosis

Answer

Object detection

Question 7

What is the primary purpose of image recognition in computer vision?

Accepted Answer

Identifying objects or scenes in images

Answer

Analyzing facial expressions

Answer

Verifying the identity of individuals

Answer

Tracking the movement of objects

Question 8

Which of the following techniques is used for feature extraction in object detection algorithms?

Accepted Answer

Convolutional Neural Networks (CNNs)

Answer

Decision Trees

Answer

Principal Component Analysis (PCA)

Answer

Linear Regression

Question 9

What is the main challenge associated with facial recognition in cluttered environments?

Accepted Answer

Variations in lighting, facial expressions, and occlusions

Answer

Bias in facial recognition algorithms

Answer

Limited training data

Question 10

How can computer vision be used to enhance security in public spaces?

Accepted Answer

Object detection for surveillance, facial recognition for access control, and anomaly detection

Answer

Predictive analytics for crime forecasting

Answer

Natural language processing for communication with law enforcement

Question 11

What are the key steps involved in training a computer vision model?

Accepted Answer

Data collection, data preprocessing, feature extraction, model selection, model training, and model evaluation

Answer

Feature selection, data cleaning, model optimization, and testing

Answer

Algorithm selection, hyperparameter tuning, data validation, and model deployment

Question 12

Which of the following is NOT an application of computer vision in cloud AI/ML?

Accepted Answer

Natural language generation

Answer

Image recognition

Answer

Object detection

Answer

Facial recognition

Question 13

What is a key advantage of leveraging cloud-based tools for computer vision development?

Accepted Answer

Scalability and cost-effectiveness

Answer

Reduced latency in all cases

Answer

Guaranteed improved accuracy

Answer

Enhanced security by default

Question 14

What is the fundamental distinction between image classification and object detection in computer vision?

Accepted Answer

Image classification identifies objects, while object detection locates and identifies them.

Answer

Object detection requires more extensive training data than image classification.

Answer

Image classification tasks are more computationally intensive than object detection tasks.

Question 15

Which technique is widely used for object recognition in computer vision?

Accepted Answer

Convolutional Neural Networks (CNNs)

Answer

Support Vector Machines (SVMs)

Answer

Linear Regression

Answer

Random Forests

Question 16

What is the significance of transfer learning in computer vision?

Accepted Answer

It enables the utilization of pre-trained models for new tasks, reducing the need for extensive additional training.

Answer

It enhances model accuracy by augmenting the training data.

Answer

It helps minimize the computational resources required to train models from scratch.

Question 17

Which of the following is NOT a core component of computer vision?

Accepted Answer

Natural language processing

Answer

Image classification

Answer

Facial recognition

Answer

Object detection

Question 18

What is the primary advantage of leveraging cloud-based tools for computer vision development?

Accepted Answer

Enhanced scalability and accessibility

Answer

Enhanced data security

Answer

Guaranteed improved accuracy

Answer

Significant cost reduction

Question 19

Which of the following techniques is primarily used for object detection in computer vision?

Accepted Answer

Convolutional Neural Networks (CNNs)

Answer

Decision Trees

Answer

Support Vector Machines (SVMs)

Answer

Linear Regression

Question 20

Describe the fundamental working principle of facial recognition technology.

Accepted Answer

Comparing facial features to a database of known faces

Answer

Detecting movement patterns

Answer

Analyzing voice patterns

Question 21

What is a primary challenge faced in the development of computer vision solutions?

Accepted Answer

Handling complex and diverse data

Answer

Shortage of skilled professionals

Answer

Limited hardware capabilities

Answer

High computational costs

Question 22

Explain the role of deep learning in advancing the capabilities of computer vision.

Accepted Answer

Enabling computers to learn complex patterns from data

Answer

Improving the precision of image processing

Answer

Reducing computational time

Question 23

Which metric is considered a key indicator for evaluating the performance of a computer vision model?

Accepted Answer

Accuracy

Answer

Speed

Answer

Cost

Answer

Memory usage

Question 24

In what way can computer vision be utilized to enhance security measures?

Accepted Answer

Detecting suspicious activities and objects

Answer

Providing remote access control

Answer

Encrypting data transmissions

Answer

Preventing malware infections

Question 25

Which of the following cloud-based tools is specifically designed for computer vision tasks?

Accepted Answer

Google Cloud Vision API

Answer

AWS S3

Answer

IBM Watson Assistant

Answer

Azure Kubernetes Service

Question 26

In the context of object detection in computer vision, what is the primary objective?

Accepted Answer

Identifying and localizing specific objects within an image

Answer

Generating natural language descriptions of images

Answer

Transcribing handwritten text

Question 27

For facial recognition tasks in computer vision, which algorithm is commonly employed?

Accepted Answer

DeepFace

Answer

K-Means algorithm

Answer

Gaussian Mixture Model

Answer

Apriori algorithm

Question 28

What is a significant advantage of utilizing pre-trained models in computer vision tasks?

Accepted Answer

Reduced training time and computational resources required

Answer

Improved accuracy compared to custom-trained models

Answer

Ability to handle a broader range of input data

Question 29

What is the role of deep learning in the field of computer vision?

Accepted Answer

Enabling computers to automatically learn patterns and features from visual data

Answer

Providing a structured approach to image processing

Answer

Improving the efficiency of image retrieval algorithms

Question 30

Which data augmentation technique is commonly employed to increase the diversity of training data for computer vision models?

Accepted Answer

Flipping

Answer

Clustering

Answer

Dimensionality reduction

Answer

Normalization

Question 31

When deploying computer vision systems, what ethical consideration should be prioritized?

Accepted Answer

Ensuring data privacy and preventing bias

Answer

Reducing computational costs

Answer

Improving user experience

Answer

Optimizing for accuracy and speed

Question 32

Which of the following is NOT a common application of computer vision in cloud AI/ML?

Accepted Answer

Natural language processing

Answer

Object detection

Answer

Image classification

Answer

Facial recognition

Question 33

What is the primary purpose of image segmentation?

Accepted Answer

To divide an image into distinct regions based on shared characteristics

Answer

To detect specific objects within an image

Answer

To enhance the contrast and sharpness of an image

Question 34

Which algorithm is commonly employed for facial recognition tasks?

Accepted Answer

Eigenfaces

Answer

K-means clustering

Answer

Linear regression

Answer

Decision trees

Question 35

What is a primary advantage of using cloud-based computer vision services?

Accepted Answer

Scalability and access to powerful computing resources

Answer

Lower development costs

Answer

Enhanced security

Question 36

Which factor is critical when deploying a computer vision solution?

Accepted Answer

Data quality and relevance

Answer

Choice of programming language

Answer

Hardware requirements

Answer

User interface design

Question 37

What is the term for the training process of a computer vision model?

Accepted Answer

Model training

Answer

Object detection

Answer

Data mining

Answer

Feature extraction

Question 38

How does deep learning contribute to computer vision?

Accepted Answer

Enables feature extraction and advanced pattern recognition

Answer

Automates the labeling of training data

Answer

Provides a graphical user interface for model development

Question 39

Which ethical consideration is crucial in computer vision system development and deployment?

Accepted Answer

Privacy and bias mitigation

Answer

Cost-effectiveness

Answer

Data security

Answer

User experience

Question 40

Which of the following is NOT a significant application of computer vision in cloud AI/ML?

Accepted Answer

Natural Language Understanding

Answer

Facial Recognition

Answer

Object Detection

Answer

Image Recognition

Question 41

What is the process of identifying and locating specific objects within an image termed as?

Accepted Answer

Object Detection

Answer

Image Segmentation

Answer

Image Classification

Answer

Facial Recognition

Question 42

Which of the following machine learning algorithms is commonly employed for image classification tasks?

Accepted Answer

Convolutional Neural Networks (CNNs)

Answer

Support Vector Machines (SVMs)

Answer

K-Nearest Neighbors (K-NN)

Answer

Linear Regression

Question 43

What is the technique used to train computer vision models on vast datasets commonly referred to as?

Accepted Answer

Deep Learning

Answer

Unsupervised Learning

Answer

Reinforcement Learning

Answer

Supervised Learning

Question 44

Which of the following is a potential ethical concern associated with the use of computer vision technology?

Accepted Answer

Privacy Violations

Answer

Improved Efficiency

Answer

Increased Productivity

Answer

Enhanced Accuracy

Question 45

In what ways can computer vision be utilized to enhance the user experience in mobile applications?

Accepted Answer

Object Recognition for augmented reality and visual search

Answer

Machine Learning for predictive analytics

Answer

Natural Language Processing for chatbots

Question 46

Which of the following is an advantage of leveraging cloud-based computer vision services?

Accepted Answer

Scalability and Cost-effectiveness

Answer

High Maintenance Costs

Answer

Slow Response Times

Answer

Limited Processing Power

Question 47

Explain the difference between image classification and object detection.

Accepted Answer

Image classification identifies the overall content of an image, while object detection locates and identifies specific objects within the image.

Answer

Image classification is more accurate, while object detection is faster.

Question 48

How does computer vision contribute to the development of autonomous vehicles?

Accepted Answer

By providing real-time object detection and scene understanding for navigation and safety features.

Answer

By reducing the cost of vehicle production.

Answer

By replacing human drivers with artificial intelligence.

Question 49

Which of these is NOT a core component of a typical computer vision pipeline?

Accepted Answer

Data Compression

Answer

Data Acquisition

Answer

Classification

Answer

Feature Extraction

Question 50

What is the primary purpose of Convolutional Neural Networks (CNNs) in computer vision?

Accepted Answer

Feature extraction from images

Answer

Generating realistic images from text descriptions

Answer

Data compression for image storage

Answer

Classifying text documents based on content

Question 51

Which technique is used to train a computer vision model to identify specific objects within an image?

Accepted Answer

Object Detection

Answer

Image Segmentation

Answer

Image Classification

Answer

Facial Recognition

Question 52

A computer vision system is trained on a dataset of images depicting cats and dogs. When presented with a new image, it correctly identifies a cat. What type of machine learning is this an example of?

Accepted Answer

Supervised Learning

Answer

Transfer Learning

Answer

Reinforcement Learning

Answer

Unsupervised Learning

Question 53

What is a significant challenge in applying computer vision for real-time applications, such as self-driving cars?

Accepted Answer

Low latency requirements

Answer

High memory consumption

Answer

Lack of computational power

Answer

Limited data availability

Question 54

Which of the following is NOT a typical application of computer vision in cloud AI/ML?

Accepted Answer

Generating musical compositions

Answer

Self-driving vehicles

Answer

Medical image analysis

Answer

Surveillance systems

Question 55

Explain the difference between image classification and object detection.

Accepted Answer

Image classification identifies the overall content of an image, while object detection locates and identifies specific objects within an image.

Answer

Image classification is used for real-time applications, while object detection is used for offline analysis.

Question 56

What is a primary ethical concern regarding facial recognition technology?

Accepted Answer

Potential for privacy violations and misuse

Answer

Limited accuracy in real-world scenarios

Answer

Lack of public awareness about its capabilities

Answer

High cost of implementation