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AI-900: Exploring the Diverse Applications of Computer Vision Technology

Discover the extensive capabilities of computer vision in performing various tasks. Learn how computer vision can be utilized to detect brands and color schemes in images, predict stock prices, translate text between languages, and extract key phrases, unlocking a world of possibilities for image analysis and interpretation.

Question

What are two tasks that can be performed by using computer vision? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. Predict stock prices.
B. Detect brands in an image.
C. Detect the color scheme in an image
D. Translate text between languages.
E. Extract key phrases.

Answer

B. Detect brands in an image.
C. Detect the color scheme in an image

Explanation

The correct answers are B. Detect brands in an image and C. Detect the color scheme in an image.

Computer vision is a field that deals with processing and understanding images and videos. Computer vision can use advanced algorithms to perform various tasks, such as image analysis, text extraction, spatial analysis, and facial recognition.

Two of the tasks that can be performed by using computer vision are:

  • Detect brands in an image: Computer vision can identify and label logos, trademarks, or other symbols of different brands within an image, such as finding the Nike swoosh or the Coca-Cola script. This can be useful for applications such as marketing analysis, brand recognition, or product recommendation.
  • Detect the color scheme in an image: Computer vision can analyze the colors and tones of an image and extract the dominant or complementary colors. This can be useful for applications such as graphic design, web development, or art creation.

The other three options are not tasks that can be performed by using computer vision, but by using natural language processing. Natural language processing is a field that deals with processing and understanding natural language, such as text or speech. Natural language processing can use advanced algorithms to perform various tasks, such as text analysis, text generation, speech recognition, and machine translation.

  • Predict stock prices: This is not a computer vision or a natural language processing task, but a machine learning task. Machine learning is a field that deals with creating and training models that can learn from data and make predictions or decisions. Machine learning can use techniques such as regression, classification, or clustering to predict stock prices based on historical data or other factors.
  • Translate text between languages: This is a natural language processing task, specifically a machine translation task. Machine translation is a technique that can convert text from one language to another, such as translating English to French or Chinese to Spanish. Machine translation can use techniques such as statistical, neural, or hybrid models to learn the rules and patterns of different languages and generate translations.
  • Extract key phrases: This is a natural language processing task, specifically a text analysis task. Text analysis is a technique that can extract information or insights from text, such as sentiment, topics, entities, or keywords. Text analysis can use techniques such as natural language understanding, natural language generation, or natural language querying to process and understand text and generate outputs.

References

Microsoft Docs > Azure > Cognitive Services > Computer Vision > What is Computer Vision?

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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