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Data Augmentation with Python

You're reading from   Data Augmentation with Python Enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data

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Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781803246451
Length 394 pages
Edition 1st Edition
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Author (1):
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Duc Haba Duc Haba
Author Profile Icon Duc Haba
Duc Haba
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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1: Data Augmentation
2. Chapter 1: Data Augmentation Made Easy FREE CHAPTER 3. Chapter 2: Biases in Data Augmentation 4. Part 2: Image Augmentation
5. Chapter 3: Image Augmentation for Classification 6. Chapter 4: Image Augmentation for Segmentation 7. Part 3: Text Augmentation
8. Chapter 5: Text Augmentation 9. Chapter 6: Text Augmentation with Machine Learning 10. Part 4: Audio Data Augmentation
11. Chapter 7: Audio Data Augmentation 12. Chapter 8: Audio Data Augmentation with Spectrogram 13. Part 5: Tabular Data Augmentation
14. Chapter 9: Tabular Data Augmentation 15. Index 16. Other Books You May Enjoy

Biases in Data Augmentation

As artificial intelligence (AI) becomes embedded in our society, biases in AI systems will adversely affect your quality of life. These AI systems, particularly in deep learning (DL) and generative AI, depend on the input data you are using to extend data augmentation.

AI systems rely heavily on data to make decisions, and if the data used to train the system is biased, then the AI system will make unfair decisions. It will lead to the unjust treatment of individuals or groups and perpetuate systemic inequalities. AI plays a decisive role in life-changing decisions, such as how much your monthly mortgage insurance rate is, whether you can be approved for a car loan, your application qualification for a job, who will receive government assistance, how much you pay for milk, what you read on social media newsfeeds, and how much oil your country will import or export, to name a few.

By learning data biases before diving deep into learning data augmentation...

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