Bounding box representation in Computer Vision - Cheat Sheet & Quick Revision

Recall & Review

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What is a bounding box in computer vision?

A bounding box is a rectangle drawn around an object in an image to show its location and size. It helps computers understand where the object is.

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Name two common ways to represent a bounding box.

Bounding boxes can be represented by:<br>1. Two points: top-left and bottom-right corners.<br>2. One point (usually top-left) plus width and height.

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Why do we use bounding boxes in object detection tasks?

Bounding boxes help locate objects in images so that the computer can focus on those areas to recognize or classify the objects.

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What does the coordinate format (x, y, w, h) mean in bounding boxes?

It means:<br>- x: horizontal position of the top-left corner<br>- y: vertical position of the top-left corner<br>- w: width of the box<br>- h: height of the box

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How can bounding boxes be used to improve real-life applications?

Bounding boxes help in self-driving cars to detect pedestrians, in security cameras to spot intruders, and in apps to identify objects for shopping or assistance.

Which of the following is NOT a common bounding box representation?

A Top-left and bottom-right corners

B Center point with width and height

C Top-left corner with width and height

D Circle center with radius

Bounding boxes are rectangles, so circles with center and radius are not used for bounding box representation.

What does the 'w' represent in a bounding box format (x, y, w, h)?

A Width of the bounding box

B Weight of the object

C Window size

D Width of the image

'w' stands for the width of the bounding box.

Why are bounding boxes important in object detection?

A They color the object

B They remove the background

C They locate the object in the image

D They increase image resolution

Bounding boxes help locate where objects are in an image.

Which coordinate usually represents the top-left corner in bounding box notation?

A w and h

B x and y

C Center x and y

D Bottom-right corner

The (x, y) coordinates usually mark the top-left corner of the bounding box.

Bounding boxes are most commonly used in which type of AI task?

A Object detection

B Reinforcement learning

C Text translation

D Speech recognition

Bounding boxes are used to detect and locate objects in images.

Explain what a bounding box is and how it is represented in an image.

Think about how you would draw a box around an object in a photo.

Describe why bounding boxes are useful in real-world applications.

Consider how knowing where something is helps computers make decisions.