NEW
Font size
WorksheetsComputer Vision Worksheet
Total questions: 49
Worksheet time: 25mins
What is the primary purpose of Computer Vision?
To translate text from one language to another.
To give computers the ability to "see" and interpret visual data.
To generate human-like speech from text.
To classify text as positive, negative, or neutral.
When a computer "sees" an image, it interprets it as:
A) A continuous scene just like a human.
B) A series of audio waveforms.
C) An array of pixel values.
D) A collection of keywords.
Which of the following is considered a common application of Computer Vision?
Sentiment analysis in social media comments.
Real-time machine translation in a chat application.
A self-driving car identifying a stop sign.
A virtual assistant answering a spoken question.
A self-driving car's ability to identify and locate pedestrians, other cars, and traffic lights is an example of which computer vision task?
Image Classification
Semantic Segmentation
Object Detection
Optical Character Recognition (OCR)
A model that assigns a single label, such as "landscape" or "portrait," to an entire image is performing which task?
Semantic Segmentation
Object Detection
Image Classification
Facial Recognition
Which of the following Azure services is specifically used to train a model to identify and locate a unique object, such as a specific type of flower?
Azure Form Recognizer
Azure Custom Vision
Azure Translator
Azure Speech Service
What is the main difference between Image Classification and Object Detection?
A) Classification identifies objects, while detection sorts images.
B) Classification gives a single label for the image, while detection provides a bounding box for each object.
C) Classification identifies an object's location, while detection classifies the entire image.
D) They are the same task, just with different terminology.
A drone needs to precisely outline the boundaries of a weed in a field of crops. Which computer vision task would be most suitable for this level of precision?
Image Classification
Semantic Segmentation
Facial Recognition
Optical Character Recognition (OCR)
What is the primary output of a semantic segmentation model?
A single label for the image.
Bounding boxes for each object.
A pixel-by-pixel mask of the objects.
A set of keywords describing the scene.
Which of the following is a real-world application of AI on transportation?
An app that translates train announcements.
A system that uses NLP to help customer service agents.
A self-driving car using CV to navigate safely.
A chatbot that provides flight information.
A security camera needs to identify if a person is present in a specific area. This is an example of what kind of computer vision task?
Optical Character Recognition (OCR)
Semantic Segmentation
Object Detection
Image Classification
The ability to scan a paper contract and convert the text into a digital, editable format is a function of:
Named Entity Recognition (NER)
Optical Character Recognition (OCR)
Key Phrase Extraction
Sentiment Analysis
Which Azure service would you use to automatically extract a total amount from a scanned receipt?
Azure Language Service
Azure Computer Vision
Azure Form Recognizer
Azure Translator
What is the difference between face detection and face recognition?
A) Detection identifies if a face is present; recognition identifies the person.
B) Detection identifies a person; recognition only detects a face.
C) Detection works on still images; recognition works on video only.
D) They are the same task.
Which of the following is a common application of facial recognition?
Counting the number of people in a room.
Providing a virtual background in a video call.
Unlocking a smartphone.
Categorizing photos by location.
Which of these is a key activity for exploring Computer Vision, as per the standards?
Analyzing text for sentiment.
Interacting with different NLP tools.
Using an online tool to detect objects in images.
Comparing various translation services.
A car dealership wants to use an AI model to identify specific car models from customer photos. Which computer vision task would be most suitable?
Semantic Segmentation
Image Classification
OCR
Face Recognition
What is the primary output of a facial recognition model?
Bounding box around the face.
The identity of the person.
The emotion of the person.
The age of the person.
Which Azure service is designed to convert text from an image into a digital format?
Azure Form Recognizer
Azure Computer Vision
Azure Translator
Azure Speech Service
A factory inspection system identifies faulty parts on a production line. This is a real-world example of:
Image Classification
Object Detection
Sentiment Analysis
Semantic Segmentation
What is the fundamental difference in how a computer and a human perceive an image?
A) A computer processes the image as a series of sounds.
B) A computer sees the image as a continuous scene.
C) A computer processes an array of pixels.
D) A computer sees only black and white.
An application that identifies and counts the number of chairs in a room would be using which computer vision task?
Semantic Segmentation
Object Detection
Image Classification
OCR
A security camera system that detects that a human face is present in a crowd is performing which of these tasks?
Face Recognition
Face Detection
OCR
Sentiment Analysis
A medical app that highlights tumors in an MRI scan with a precise, pixel-by-pixel mask is using:
Object Detection
Image Classification
Semantic Segmentation
Form Recognition
What is the primary purpose of Natural Language Processing (NLP)?
To enable computers to understand and generate human language.
To allow computers to see and interpret images.
To convert images of text into a digital format.
To identify objects in a video.
A virtual assistant like Alexa or Siri uses which NLP task to understand your spoken commands?
Key Phrase Extraction
Text-to-Speech
Speech-to-Text
Sentiment Analysis
The process of converting written text into spoken words is called:
Speech-to-Text
Text-to-Speech
Named Entity Recognition
Machine Translation
A company analyzing customer feedback on social media to determine if it is positive, negative, or neutral is using which NLP task?
Machine Translation
Key Phrase Extraction
Sentiment Analysis
Named Entity Recognition
Which of the following is a common NLP application?
A self-driving car.
A chatbot on a website.
A facial recognition system.
A system that detects weeds in a garden.
To identify and categorize specific information like "London," "Microsoft," and "10:00 AM" from a body of text, you would use:
Key Phrase Extraction
Named Entity Recognition (NER)
Sentiment Analysis
Speech-to-Text
The process of converting text or speech from one human language to another is called:
Speech Recognition
Named Entity Recognition
Machine Translation
Sentiment Analysis
Which Azure service provides a unified API for both converting speech to text and text to speech?
Azure Language Service
Azure Translator
Azure Speech Service
Azure Custom Vision
A news app that automatically pulls out the most important topics, such as "inflation" and "stock market," from an article is using:
Named Entity Recognition
Sentiment Analysis
Which of the following is an example of a key activity for delving into NLP?
Using an online tool to detect objects in an image.
Analyzing text for sentiment.
Creating a simple CV demo.
Discussing how CV powers real-world tech.
An application that allows two people speaking different languages to communicate seamlessly in a chat would be powered by which NLP task?
Speech-to-Text
Text-to-Speech
Machine Translation
Sentiment Analysis
What is the primary purpose of a chatbot on a website?
To classify images for the company's product catalog.
To identify faces of returning customers.
To understand and respond to user queries in natural language.
To automatically translate website content.
The process of a virtual assistant's synthesized voice reading a weather report aloud is an example of:
Speech-to-Text
Machine Translation
Named Entity Recognition
Text-to-Speech
A legal firm using a tool to quickly find the most relevant clauses and terms in a long legal document is applying which NLP task?
Sentiment Analysis
Machine Translation
Key Phrase Extraction
Named Entity Recognition
An email client that can recognize a date like "next Tuesday" and suggest adding an event to your calendar is using which of these?
Key Phrase Extraction
Machine Translation
Named Entity Recognition (NER)
Sentiment Analysis
What is the difference between a chatbot and a virtual assistant?
A chatbot only uses text, while a virtual assistant uses speech and text.
A chatbot uses sentiment analysis, while a virtual assistant does not.
A virtual assistant only uses text, while a chatbot uses speech.
There is no difference between them.
What is the main purpose of the Azure Language Service?
To translate text and documents.
To provide a suite of NLP capabilities like sentiment analysis and NER.
To handle all aspects of computer vision.
To process speech-to-text and text-to-speech.
Which of the following is a key activity for delving into NLP, as per the standards?
A) A simple CV demo.
B) Analyzing the impact of AI on industries.
C) Comparing various chatbots or translation services.
D) Discussing how CV powers real-world tech.
The NLP task that would be used to provide real-time subtitles for a live lecture is:
Speech-to-Text
Named Entity Recognition
Text-to-Speech
Machine Translation
A website automatically translating its content into a visitor's preferred language is using which NLP task?
Sentiment Analysis
Machine Translation
Speech Recognition
Key Phrase Extraction
What is the main challenge a computer faces when trying to interpret human language?
It can only process one word at a time.
Human language is always perfect and consistent.
Human language can be ambiguous and context-dependent.
It cannot process grammar.
In the sentence, "The meeting at New York is scheduled with Google for Monday," a NER model would identify the location as:
The meeting
New York
Monday
A legal firm using a tool to quickly find the most common complaints or compliments in customer reviews is applying which NLP task?
Sentiment Analysis
Machine Translation
Key Phrase Extraction
Named Entity Recognition
Which of the following is a common application of NLP?
A system that identifies different types of tumors in an MRI scan.
An application that counts the number of people in a crowd.
A tool that provides real-time transcription of a meeting.
A self-driving car using CV to navigate.
The process of an AI analyzing the syntax, semantics, and context of text is a key part of:
Computer Vision
Object Detection
Natural Language Processing (NLP)
Facial Recognition
