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Computer Vision Quiz

Total questions: 15

Worksheet time: 8mins

Name
Class
Date
1.

What is Computer Vision?

a)

A programming language

b)

A branch of mathematics

c)

Enabling machines to see and understand images

d)

Creating 3D animations

2.

Which of the following is NOT a step in computer vision?

a)

Image Acquisition

b)

Image Washing

c)

Image Processing

d)

Image Understanding

3.

What kind of data do CNNs process best?

a)

Text

b)

Spreadsheets

c)

Grid-like data such as images

d)

Audio signals

4.

What does a red pixel look like in RGB values?

a)

[0, 255, 0]

b)

[0, 0, 0]

c)

[255, 0, 0]

d)

[255, 255, 255]

5.

Which of the following was an early use of computer vision in the 1970s?

a)

Self-driving cars

b)

Face recognition

c)

Optical character recognition

d)

Object tracking

6.

What technique is used to find the outside edge of objects in an image?

a)

Image classification

b)

Edge detection

c)

Object recognition

d)

Color segmentation

7.

In edge detection, what indicates an edge?

a)

A large change in pixel color

b)

A missing pixel

c)

Constant pixel values

d)

Image compression

8.

Which task answers 'What is in the image?'

a)

Object detection

b)

Motion analysis

c)

Image classification

d)

Segmentation

9.

What does segmentation help with?

a)

Detecting sound

b)

Dividing images into meaningful regions

c)

Sending emails

d)

Measuring time

10.

Which computer vision task is used in face matching?

a)

Lane detection

b)

Feature extraction

c)

Object tracking

d)

Heat mapping

11.

Which model architecture is used in deep learning for image tasks?

a)

CNN

b)

SVM

c)

LSTM

d)

RNN

12.

What does the max pooling layer do?

a)

Blurs the image

b)

Detects motion

c)

Reduces image size by taking max values

d)

Enhances brightness

13.

What is Transfer Learning?

a)

Moving data between devices

b)

Using a pre-trained model for a new task

c)

Training a model from scratch

d)

Sending files to the cloud

14.

What challenge is common in real-world computer vision?

a)

Too many images

b)

Perfect lighting always

c)

Background noise and occlusion

d)

High image quality

15.

What is the future of computer vision likely to include?

a)

Only text analysis

b)

Integration with AR/VR

c)

Removal of all visual data

d)

Manual feature extraction