Evaluate the impact of an AI application used in the real world. (case study) : Working with Flower Images: Case Study -

Evaluate the impact of an AI application used in the real world. (case study) : Working with Flower Images: Case Study -

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial introduces a problem involving a flower dataset, focusing on two types: Daisy and Rose. It explains the dataset's structure, with images stored in separate folders. The tutorial covers importing necessary packages for image processing, including SK image, and discusses alternatives like OpenCV. A custom function for plotting images is introduced, and the use of the glob module to list file paths is explained. The tutorial also demonstrates displaying random images from the dataset, setting the stage for further exploration of image properties in the next lecture.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the two types of flowers used in the dataset for this task?

Lily and Orchid

Daffodil and Marigold

Tulip and Sunflower

Daisy and Rose

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which package is preferred for image preprocessing in this project?

OpenCV

TensorFlow

PIL

skimage

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the 'glob' module in this project?

To preprocess image data

To list all file paths in a directory

To create a CNN model

To visualize images

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What function is used to display images in this project?

render

imshow

show

display

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How are images randomly selected for display in this project?

Using a fixed index

By selecting the last image

Using a random index generator

By selecting the first image