See the World Like a Computer: An Intro to Computer Vision Quiz Quiz

1. Definition of Computer Vision

   What is the main goal of computer vision as a field within computer science?

   1. A) Enabling computers to interpret and understand visual information from the world
   2. B) Developing faster computer processors
   3. C) Writing computer code to manage data storage
   4. D) Creating sound recognition systems
   5. E) Programming computer games only

2. Practical Application Example

   Which of the following is a real-world example of using computer vision?

   1. A) Automatic image tagging of animals in photos
   2. B) Calculating spreadsheet formulas
   3. C) Sending emails to multiple recipients
   4. D) Adjusting audio volume automatically
   5. E) Translating languages by text only

3. Basic Task in Computer Vision

   Which of the following is considered a fundamental task in computer vision?

   1. A) Image classification
   2. B) Writing poetry
   3. C) Sending notifications
   4. D) Compressing zip files
   5. E) Mixing music tracks

4. Distinction from Other Concepts

   How is computer vision different from image processing?

   1. A) Computer vision focuses on understanding images, while image processing focuses on enhancing images
   2. B) Computer vision is only for editing photos
   3. C) Image processing is about robotics movement
   4. D) They are exactly the same thing
   5. E) Image processing cannot use any computers

5. Input Data in Computer Vision

   What types of data are commonly processed in computer vision systems?

   1. A) Images and videos
   2. B) Only sound recordings
   3. C) Rows of text only
   4. D) GPS coordinates only
   5. E) All numeric spreadsheet entries

6. Pattern Recognition in Computer Vision

   In computer vision, what is pattern recognition mainly used for?

   1. A) Detecting objects such as faces or cars in images
   2. B) Making sandwiches automatically
   3. C) Composing musical scores
   4. D) Starting computer operating systems
   5. E) Drawing random shapes

7. Machine Learning in Computer Vision

   Why is machine learning important in computer vision?

   1. A) It helps computers learn to recognize visual patterns from data examples
   2. B) It increases internet connection speed
   3. C) It is used mainly to delete old files
   4. D) It sets up video game graphics
   5. E) It blocks phone spam calls

8. Edge Detection Example

   Which task describes edge detection in computer vision?

   1. A) Identifying the outlines of objects in a photograph
   2. B) Mixing different colors
   3. C) Finding the loudest sound in a song
   4. D) Encrypting a file for privacy
   5. E) Rewriting a document's text

9. Limitations of Computer Vision

   What is one common limitation of computer vision systems?

   1. A) Difficulty recognizing objects in poor lighting or when things are partially hidden
   2. B) Inability to process large text files
   3. C) Consuming too much water
   4. D) Always producing faster results than humans
   5. E) Needing to use only handwritten code

10. Computer Vision and Human Vision

    How does computer vision compare to human vision?

    1. A) Computer vision tries to replicate how humans interpret visual information, often with different strengths and weaknesses
    2. B) Computer vision needs glasses to work
    3. C) Human vision is based on electronics
    4. D) Computer vision cannot process any moving images
    5. E) They are both powered only by sunlight