Computer vision for beginners quiz

Question 1

What is computer vision?

Accepted Answer

A way for computers to understand images and videos

Answer

A type of computer monitor

Answer

A program that only edits text

Answer

A faster internet connection

Question 2

What is a pixel?

Accepted Answer

The smallest dot of color in an image

Answer

A type of camera lens

Answer

A computer mouse button

Answer

A unit of computer memory

Question 3

How does a computer store a color image?

Accepted Answer

As three numbers per pixel for Red, Green, and Blue

Answer

As a single word describing the photo

Answer

As a sound recording

Answer

As one number for the whole picture

Question 4

What range of values does each color channel (Red, Green, or Blue) usually have in an image?

Accepted Answer

0 to 255

Answer

0 to 9

Answer

1 to 100

Answer

-100 to 100

Question 5

What is a grayscale image?

Accepted Answer

An image made of shades of gray with no color

Answer

An image with extra bright colors

Answer

A blurry photograph

Answer

An image stored as text

Question 6

What does 'image resolution' mean?

Accepted Answer

The number of pixels in an image

Answer

The brightness of the screen

Answer

How fast a photo loads

Answer

The color of the background

Question 7

What is image classification in computer vision?

Accepted Answer

Giving a whole image one label like 'cat' or 'dog'

Answer

Making an image brighter

Answer

Counting the pixels in a photo

Answer

Saving an image to a folder

Question 8

What is the difference between image classification and object detection?

Accepted Answer

Detection also locates objects with boxes, classification only labels the whole image

Answer

They are exactly the same thing

Answer

Classification is only for videos

Answer

Detection only works on grayscale images

Question 9

What is a 'bounding box' in object detection?

Accepted Answer

A rectangle showing where an object is in the image

Answer

The frame around a computer screen

Answer

A box that stores image files

Answer

The border of a webpage

Question 10

How do computers learn to recognize images from examples?

Accepted Answer

By training on many labeled example images

Answer

By copying images from the internet once

Answer

By being programmed with one rule per object

Answer

By asking a human every single time

Question 11

What is 'training data' in computer vision?

Accepted Answer

Example images used to teach a model

Answer

The model's final answers

Answer

A type of camera setting

Answer

The screen where images appear

Question 12

Why is it important to have labeled images for training?

Accepted Answer

Labels tell the model the correct answer to learn from

Answer

Labels make the images load faster

Answer

Labels add color to images

Answer

Labels are only used to name files

Question 13

What is a neural network, in simple terms?

Accepted Answer

A system of connected units that learns patterns

Answer

A network of physical wires in a camera

Answer

A type of social media site

Answer

A list of rules written by hand

Question 14

What does CNN stand for in computer vision?

Accepted Answer

Convolutional Neural Network

Answer

Computer Number Network

Answer

Color Naming Node

Answer

Central Network Node

Question 15

What is an 'edge' in an image, and why is it useful?

Accepted Answer

A sharp change in brightness or color marking an object's boundary

Answer

The corner of the screen

Answer

A scratch on the camera lens

Answer

The file name of an image

Question 16

What is a 'feature' in computer vision?

Accepted Answer

A useful piece of information extracted from an image

Answer

A special button on a camera

Answer

The size of an image file

Answer

A type of computer screen

Question 17

What is face detection?

Accepted Answer

Finding where faces are in an image

Answer

Identifying a person's name

Answer

Changing a face's color

Answer

Counting only animals in a photo

Question 18

What is the difference between face detection and face recognition?

Accepted Answer

Detection finds a face; recognition identifies who it is

Answer

They mean exactly the same thing

Answer

Detection works only on cartoons

Answer

Recognition only detects animals

Question 19

Name a real-world example of computer vision used in phones.

Accepted Answer

Unlocking the phone with your face

Answer

Charging the battery

Answer

Playing a song from storage

Answer

Sending a text message

Question 20

How do self-driving cars use computer vision?

Accepted Answer

To recognize roads, signs, people, and other cars

Answer

To play music for the driver

Answer

To clean the windshield

Answer

To pay for fuel automatically

Question 21

What is OCR (Optical Character Recognition)?

Accepted Answer

Reading text from images and turning it into digital text

Answer

Removing text from photos

Answer

Translating spoken words to text

Answer

Drawing letters on a screen

Question 22

What is image segmentation?

Accepted Answer

Labeling every pixel by which object it belongs to

Answer

Cutting an image into equal squares

Answer

Making an image smaller

Answer

Adding a frame around an image

Question 23

Why might a computer vision model make mistakes?

Accepted Answer

It sees images unlike its training data or had poor training

Answer

Computers never make mistakes

Answer

It runs out of electricity

Answer

The image file is too colorful

Question 24

What is 'bias' in a computer vision system?

Accepted Answer

Unfair results caused by unbalanced training data

Answer

A blurry image effect

Answer

A type of camera lens

Answer

A faster way to train models

Question 25

Why is privacy an important concern with computer vision?

Accepted Answer

Cameras can identify and track people without consent

Answer

It makes images load slowly

Answer

It uses too many colors

Answer

It only affects video games

Question 26

What is data augmentation in computer vision?

Accepted Answer

Creating more training images by flipping or rotating existing ones

Answer

Deleting half of the training images

Answer

Adding text labels to the screen

Answer

Increasing the screen brightness

Question 27

What does it mean to 'train' versus 'test' a model?

Accepted Answer

Training teaches the model; testing checks it on new images

Answer

They are the same step

Answer

Testing always comes before training

Answer

Training only uses one image

Question 28

What is 'accuracy' as a way to measure a vision model?

Accepted Answer

The percentage of images labeled correctly

Answer

The size of the image file

Answer

The number of colors used

Answer

How fast the model runs

Question 29

What is overfitting in a vision model?

Accepted Answer

Memorizing training images but failing on new ones

Answer

Running the model too quickly

Answer

Using too few colors

Answer

Having a screen that is too bright

Question 30

In Python, which popular library is often used to read and process images?

Accepted Answer

OpenCV (cv2)

Answer

Microsoft Word

Answer

Excel

Answer

Notepad

Test yourself