Augmenting image data with Keras CV

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Published 2024-03-08

Learn how to perform data augmentation with KerasCV. Wei, a Developer Advocate at Google, covers how to augment image data with some of the most popular and useful augmentation layers: ‘RandAugment,’ ‘CutMix,’ and ‘MixUp.’ These layers are used in nearly all state-of-the-art image classification pipelines.

Chapters:
0:00 - Introduction
0:56 - Layers
2:24 - Customizing augmentation pipeline
3:12 - Training a CNN with augmentation

Resources:
Tutorials
CutMix, MixUp, and RandAugment image augmentation with KerasCV → goo.gle/3T6iS0Q
Classification with KerasCV → goo.gle/3wDueSo
Custom Image Augmentations with BaseImageAugmentationLayer → goo.gle/3Taey0w

Papers
CutMix: Train Strong Classifiers Paper → goo.gle/3IrW2Md
MixUp: Beyond Empirical Risk Minimization Paper → goo.gle/3It4pHm

Watch more Applied ML with KerasCV and KerasNLP → goo.gle/AppliedMLwithKeras
Subscribe to the TensorFlow channel → goo.gle/TensorFlow

#TensorFlow

Speaker: Wei Wei

All Comments (2)

@adhokshajapradeep5907 1 month ago

Thank you for the insightful tutorial. Could you consider creating content on preprocessing user images for integration into the KerasCV pipeline? Such guidance would be greatly appreciated. Thank you!