Computer Vision and Machine Learning

What is the main purpose of using machine learning and computer vision in agriculture?

• To identify the difference between crops and weeds

• To remove weeds using chemicals

• To improve the taste of crops

• To increase the size of crops

Where can technology play a role in using AI?

• In self-driving cars only

• In agriculture only

• In any place where resources can be used more efficiently

• In medical imaging only

What is computer vision?

• The way machines interpret images

• The process of teaching a computer to recognize shapes

• The ability of a computer to drive a car

• The way machines learn from their mistakes

How does traditional programming differ from machine learning in recognizing shapes?

• Traditional programming uses numerical values for pixels

• Traditional programming requires thousands of examples of training data

• Machine learning can recognize shapes of any size, symmetry, or rotation

• Machine learning uses flashcards to learn shapes

What is the purpose of training a computer in machine learning?

• To make the computer guess randomly

• To optimize the computer to recognize new pictures

• To make the computer recognize shapes without trial and error

• To make the computer guess correctly every time

What is a statistical model in machine learning?

• A model that recognizes complex images

• A model that uses neural networks

• A model that guesses randomly

• A model that optimizes the computer to recognize pictures

What can be a challenge in computer vision systems?

• Recognizing patterns in complex images

• Detecting diseases in medical imagery

• Identifying pedestrians in self-driving cars

• Seeing people of color in face recognition systems

What is the ultimate factor that determines the effectiveness of a machine learning system?

• The complexity of the training data

• The number of layers in the neural network

• The accuracy of the guessing machine

• The quality of the data used to train it

What is the main purpose of computer vision in real-world applications?

• To recognize simple shapes and animals

• To detect diseases and medical imagery

• To identify the difference between dogs and bagels

• To build self-driving cars

Why is it important for society to understand how computer vision systems work?

• To improve the taste of crops

• To increase the size of crops

• To ensure the appropriate use of computer vision in solving real problems

• To optimize the performance of self-driving cars