06 - Image Augmentation: Techniques to Prevent Overfitting

Complete guide to Image Augmentation: Techniques to Prevent Overfitting: architecture, practical implementation and best practices for developers and technical teams.

What you'll learn

• 1.1 Mapping Invariances to Transformations by Domain
• 2.1 Albumentations vs torchvision.transforms: Choosing the Right Tool
• 3.1 MixUp: Interpolating Between Images
• 3.2 AutoAugment, RandAugment, and TrivialAugment
• 3.3 Test-Time Augmentation (TTA)

This article is part of the Computer Vision series on federicocalo.dev.

Read the full article

The complete article (14 min read) with code examples, diagrams, and practical exercises is available here:

➡️ 06 - Image Augmentation: Techniques to Prevent Overfitting

https://federicocalo.dev/en/blog/image-augmentation-techniques-prevent-overfitting

By Federico Calò — Software Developer & Technical Writer