Question 1

What is Computer Vision?

Accepted Answer

A field of study that focuses on how computers can interpret imagery and video

Answer

A programming language used to create visual effects

Answer

A tool used to view and manipulate images on a computer

Answer

A software used to edit images and videos

Question 2

What is the difference between image classification and object detection?

Accepted Answer

Image classification labels an entire image, while object detection labels the location of specific objects within an image

Answer

Object detection is a faster process than image classification

Answer

Image classification labels the location of specific objects within an image, while object detection labels an entire image

Answer

They are the same thing

Question 3

What is a Convolutional Neural Network (CNN)?

Accepted Answer

A type of deep learning algorithm used for image processing

Answer

A programming language used to create visual effects

Answer

A software tool used to edit images and videos

Answer

A tool used to view and manipulate images on a computer

Question 4

What is meant by the term 'overfitting' in relation to machine learning?

Accepted Answer

When a model is too complex, and it performs well on the training data but poorly on new data

Answer

When a model is too simple, and it performs poorly on the training data and new data

Answer

When a model performs well on both the training data and new data

Answer

When a model performs poorly on the training data, but well on new data

Question 5

What is the purpose of pre-processing in computer vision?

Accepted Answer

To prepare image data for use in machine learning algorithms

Answer

To adjust image resolution and aspect ratio

Answer

To add special effects to images

Answer

To change the color of the image

Question 6

What is meant by the term 'image segmentation'?

Accepted Answer

The process of dividing an image into multiple segments, each with its own label

Answer

The process of combining multiple images into one

Answer

The process of rotating an image

Answer

The process of removing unwanted objects from an image

Question 7

What is the difference between supervised and unsupervised learning?

Accepted Answer

Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data

Answer

They are the same thing

Answer

Unsupervised learning is faster than supervised learning

Answer

Supervised learning uses unlabeled data to train a model, while unsupervised learning uses labeled data

Question 8

What is an activation function in machine learning?

Accepted Answer

A function that determines the output of a neuron in a neural network

Answer

A function that determines the input of a neuron in a neural network

Answer

A function that determines the input of a machine learning algorithm

Answer

A function that determines the output of a machine learning algorithm

Question 9

What is meant by the term 'data augmentation' in computer vision?

Accepted Answer

The process of artificially increasing the size of the training dataset by making small modifications to existing images

Answer

The process of decreasing the size of the training dataset by removing unnecessary images

Answer

The process of creating entirely new images from scratch

Answer

The process of labeling images for use in machine learning algorithms

Question 10

What is the purpose of a validation set in machine learning?

Accepted Answer

To evaluate a model's performance during training and avoid overfitting

Answer

To provide additional data for a model to train on

Answer

To adjust the hyperparameters of a model

Answer

To test a model's performance on new data after training

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