Understanding AI and Computer Vision

What is the definition of Artificial Intelligence (AI)?

• Artificial Intelligence (AI) is a type of computer hardware.

• Artificial Intelligence (AI) is the study of human behavior.

• Artificial Intelligence (AI) refers to the use of robots in manufacturing.

• Artificial Intelligence (AI) is the simulation of human intelligence in machines.

How does Machine Learning (ML) differ from AI?

• Machine Learning is the same as Artificial Intelligence.

• Machine Learning is a subset of Artificial Intelligence.

• Machine Learning is unrelated to Artificial Intelligence.

• Machine Learning is a type of programming language.

In the context of AI, what is a model?

• A model in AI is a mathematical representation trained on data to make predictions or decisions.

• A model in AI is a user interface for data entry.

• A model in AI is a type of computer hardware.

• A model in AI is a physical robot that performs tasks.

Can you provide two examples of AI in daily life?

• Online banking services (e.g., PayPal, Venmo)

• Fitness trackers (e.g., Fitbit, Apple Watch)

• Social media platforms (e.g., Facebook, Twitter)

• 1. Virtual assistants (e.g., Siri, Google Assistant), 2. Recommendation systems (e.g., Netflix, Amazon)

What is object detection in computer vision?

• Object detection involves analyzing sound patterns in videos.

• Object detection is the technique used for image compression.

• Object detection is the process of identifying and locating objects in images or videos.

• Object detection is the process of enhancing image quality.

How does similarity search work in computer vision?

• It categorizes images based on their file names.

• Similarity search relies on pixel-by-pixel comparison of images.

• Similarity search in computer vision works by comparing feature representations of images in a high-dimensional space to find the most similar ones.

• It uses color histograms to match images directly.

What is image segmentation and why is it important?

• Image segmentation is a technique for changing image colors.

• Image segmentation is used to compress images for faster loading.

• Image segmentation is the process of enhancing image brightness.

• Image segmentation is the process of dividing an image into segments to identify and isolate objects, making it important for tasks in computer vision and image analysis.

Explain Optical Character Recognition (OCR) in simple terms.

• OCR is a technology that converts images of text into editable and searchable text.

• OCR is a technology that enhances image quality.

• OCR is a method for printing text on paper.

• OCR is a type of software used for video editing.

What are some real-life applications of object detection?

• Social media analysis

• Weather forecasting

• Autonomous vehicles, security systems, retail inventory management, healthcare imaging.

• Video game development

How is similarity search used in everyday technology?

• Similarity search is used in financial auditing.

• Similarity search is used in cooking recipes.

• Similarity search is used in weather forecasting.

• Similarity search is used in search engines, recommendation systems, and image recognition.