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Data Labeling in Machine Learning with Python

You're reading from  Data Labeling in Machine Learning with Python

Product type Book
Published in Jan 2024
Publisher Packt
ISBN-13 9781804610541
Pages 398 pages
Edition 1st Edition
Languages
Author (1):
Vijaya Kumar Suda Vijaya Kumar Suda
Profile icon Vijaya Kumar Suda

Table of Contents (18) Chapters

Preface Part 1: Labeling Tabular Data
Chapter 1: Exploring Data for Machine Learning Chapter 2: Labeling Data for Classification Chapter 3: Labeling Data for Regression Part 2: Labeling Image Data
Chapter 4: Exploring Image Data Chapter 5: Labeling Image Data Using Rules Chapter 6: Labeling Image Data Using Data Augmentation Part 3: Labeling Text, Audio, and Video Data
Chapter 7: Labeling Text Data Chapter 8: Exploring Video Data Chapter 9: Labeling Video Data Chapter 10: Exploring Audio Data Chapter 11: Labeling Audio Data Chapter 12: Hands-On Exploring Data Labeling Tools Index Other Books You May Enjoy

Summary

In this chapter, we learned how to review images after loading an image dataset and explore them using a tool called Matplotlib in Python. We also found out how to change the size of pictures using two handy tools called PIL and OpenCV. And just when things were getting interesting, we discovered a cool trick called data augmentation that helps us make our dataset bigger and teaches our computer how to understand different versions of the same picture.

But wait, there’s more to come! In the next chapter, we are going to see how to label our image data using Snorkel based on rules and heuristics. Get ready for some more fun as we dive into the world of labeling images!

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