Search icon
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
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 have learned how to use Azure Machine Learning to label image, video, and audio data. We also learned about the open source annotation tool Label Studio for image, video, and text annotation. Finally, we learned about pyOpenAnnotate and CVAT for labeling image and video data. Now, you can try using these open source tools to prepare the labeled data for machine learning model training.

As we reach the final pages of this book, I extend my heartfelt congratulations to you on completing this insightful journey into the world of data labeling for image, text, audio, and video data. Your dedication and curiosity have paved the way for a deeper understanding of cutting-edge technologies. May the knowledge gained here continue to inspire your future endeavors. Thank you for being a part of this enriching experience!

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime}