https://github.com/rasbt/comparing-automatic-augmentation-blog

Comparing four automatic image augmentation techniques in PyTorch: AutoAugment, RandAugment, AugMix, and TrivialAugment
https://github.com/rasbt/comparing-automatic-augmentation-blog

ai computer-vision deep-learning pytorch

Last synced: about 1 year ago
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Comparing four automatic image augmentation techniques in PyTorch: AutoAugment, RandAugment, AugMix, and TrivialAugment

• Host: GitHub
• URL: https://github.com/rasbt/comparing-automatic-augmentation-blog
• Owner: rasbt
• License: bsd-3-clause
• Created: 2023-01-30T17:20:51.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-02-07T16:16:02.000Z (over 3 years ago)
• Last Synced: 2025-05-01T02:48:13.041Z (about 1 year ago)
• Topics: ai, computer-vision, deep-learning, pytorch
• Language: Jupyter Notebook
• Homepage: https://sebastianraschka.com/blog/2023/data-augmentation-pytorch.html
• Size: 1.49 MB
• Stars: 30
• Watchers: 4
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Comparing Automatic Augmentation

A comparison of four automatic image augmentation techniques in PyTorch: AutoAugment, RandAugment, AugMix, and TrivialAugment.

The accompanying blog post can be found at: [https://sebastianraschka.com/blog/2023/data-augmentation-pytorch.html](https://sebastianraschka.com/blog/2023/data-augmentation-pytorch.html)

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