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?

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