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Data Labeling in Machine Learning with Python

You're reading from   Data Labeling in Machine Learning with Python Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781804610541
Length 398 pages
Edition 1st Edition
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Author (1):
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Vijaya Kumar Suda Vijaya Kumar Suda
Author Profile Icon Vijaya Kumar Suda
Vijaya Kumar Suda
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Table of Contents (18) Chapters Close

Preface 1. Part 1: Labeling Tabular Data
2. Chapter 1: Exploring Data for Machine Learning FREE CHAPTER 3. Chapter 2: Labeling Data for Classification 4. Chapter 3: Labeling Data for Regression 5. Part 2: Labeling Image Data
6. Chapter 4: Exploring Image Data 7. Chapter 5: Labeling Image Data Using Rules 8. Chapter 6: Labeling Image Data Using Data Augmentation 9. Part 3: Labeling Text, Audio, and Video Data
10. Chapter 7: Labeling Text Data 11. Chapter 8: Exploring Video Data 12. Chapter 9: Labeling Video Data 13. Chapter 10: Exploring Audio Data 14. Chapter 11: Labeling Audio Data 15. Chapter 12: Hands-On Exploring Data Labeling Tools 16. Index 17. Other Books You May Enjoy

Using the Watershed algorithm for video data labeling

The Watershed algorithm is a popular technique used for image segmentation, and it can be adapted to label video data as well.

It is particularly effective in segmenting complex images with irregular boundaries and overlapping objects. Inspired by the natural process of watersheds in hydrology, the algorithm treats grayscale or gradient images as topographic maps, where each pixel represents a point on the terrain. By simulating the flooding of basins from different regions, the Watershed algorithm divides the image into distinct regions or segments.

In this section, we will explore the concept of the Watershed algorithm in detail. We will discuss its underlying principles, the steps involved in the algorithm, and its applications in various fields. Additionally, we will provide practical examples and code implementations to illustrate how the Watershed algorithm can be applied to segment and label video data.

The algorithm...

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