What is the primary function of computer vision in artificial intelligence?

Computer vision extracts data from images.

• Analyzes visual inputs effectively.

• Facilitates automated decision-making.

• Enhances user interactions significantly.

Convolution in image processing involves the use of what mathematical operation?

Convolution uses mathematical operations.

• Combines image and kernel.

• Produces filtered output array.

• Essential for feature extraction.

Fill in the blank: The process of identifying both the type of object and its location in an image is known as ___ + ___ in computer vision.

Classification + Localisation

What distinguishes instance segmentation from object detection in computer vision tasks?

Instance segmentation labels pixels individually.

• Identifies each object instance.

• Provides pixel-level classification.

• Enhances image segmentation accuracy.

True or False: The pooling layer in a Convolutional Neural Network (CNN) increases the spatial size of the convolved features.

False. The pooling layer reduces the spatial size of the convolved features while retaining important information.

Riddle: I can help you find a face in a crowd or detect a bicycle in a photo. What am I?

Object Detection

Describe the role of the Rectified Linear Unit (ReLU) in a Convolutional Neural Network.

ReLU enhances feature extraction.

• Eliminates negative values.

• Promotes non-linearity.

• Improves convergence speed.

What type of images do RGB models represent and how are these colors produced?

RGB models represent color images.

• Combines Red, Green, Blue.

• Produces wide color spectrum.

• Used in digital displays.

Fill in the blank: The first step of the AI project cycle is ___, which involves defining the problem to be solved.

Problem scoping

How does Google’s Search by Image utilize computer vision?

Google's Search by Image uses computer vision.

• Analyzes input images effectively.

• Compares with a large database.

• Returns visually similar results.

What is the primary purpose of computer vision in artificial intelligence?

Computer vision enables visual data analysis.

• Extracts information from images.

• Interprets visual data contextually.

• Supports decision-making processes.

Fill in the blank: The convolution operator is crucial in image processing because it allows for the combination of two functions to produce a ___ that enhances certain features of the image.

Resulting array

Explain the difference between image classification and object detection in computer vision.

Image classification assigns labels to images.

• Classifies entire images.

• Identifies multiple objects.

• Provides object locations.

True or False: A grayscale image can contain colors other than black, white, and shades of gray.

False. A grayscale image contains only shades of black, gray, and white.

What are the roles of the pooling layer in a Convolutional Neural Network (CNN)?

Pooling layer reduces spatial dimensions.

• Enhances computational efficiency.

• Maintains important feature details.

• Provides resistance to distortions.

Riddle: I am the smallest unit of an image, arranged in a grid, and I can describe color and brightness. What am I?

A pixel.

What is the function of the Rectified Linear Unit (ReLU) in a CNN?

ReLU enhances feature detection in CNNs.

• Removes negative values.

• Retains positive values.

• Facilitates faster learning.

Fill in the blank: In computer vision, the task of ___ involves both identifying the object present in the image and determining its location.

Classification + localisation

What is the significance of using kernels in the convolution process of image processing?

Kernels extract features from images.

• Enable edge detection techniques.

• Enhance image texture analysis.

• Facilitate pattern recognition tasks.