Basics
How Computers See
Models & Algorithms
Applications
Advanced & Ethics
100

What is computer vision?

This AI field enables computers to understand images and videos.
 

100

What is a 2D matrix?

A grayscale image is stored as this kind of matrix.
 

100

What is a Convolutional Neural Network (CNN)?

The most commonly used neural network for computer vision tasks.
 

100

What is face recognition?

Face unlock on smartphones is an example of this CV application.

100

What is data?

CV models usually require a large amount of this to perform well.
 

200

What are pixel values (numerical matrices)?

Images are stored in computers mainly as this type of data.
 

200

What are Red, Green, and Blue (RGB)?

A color image usually contains these three channels.

200

What is a convolution layer?

This CNN layer detects patterns such as edges and shapes.
 

200

What are pedestrians?

Self-driving cars use CV to detect lanes, vehicles, and this.

200

What is algorithmic bias?

Bias in facial recognition systems is an example of this ethical issue.

300

What is human vision/visual perception?

The main goal of computer vision is to replicate this human ability

300

What is image preprocessing?

This step improves image quality before analysis.
 

300

What is object detection?

YOLO is mainly used for this computer vision task.
 

300

What is Optical Character Recognition (OCR)?

Reading printed or handwritten text from images is called this.

300

What is Edge AI?

Running CV models directly on devices instead of the cloud is called this.
 

400

What is supervised learning?

This AI technique allows systems to learn patterns from labeled images.

400

What is feature extraction?

Edge detection, corners, and textures are examples of this.
 

400

What is a Vision Transformer (ViT)?

This modern architecture uses attention instead of convolutions.

400

What is healthcare/medical imaging?

CV helps doctors analyze X-rays and MRIs in this field.
 

400

What is privacy?

Using CV for mass surveillance raises concerns about this.
 

500

What is understanding and decision-making from images?

The difference between image processing and computer vision is that CV focuses on this.
 

500

What is image segmentation?


Assigning a label to every pixel in an image.

500

What is object detection?

Identifying both the object and its location in an image.

500

What is manufacturing/quality control?

Detecting defective products using cameras is common in this industry.

500

What is 3D computer vision?

This future CV area focuses on understanding depth and 3D structure.
 

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