affjljoo3581/Differentiable-RandAugment
Optimize RandAugment with differentiable operations
This tool helps machine learning engineers and researchers automatically find the best way to apply image augmentations for their models. Instead of manually testing different augmentation settings (like rotation angles or color shifts), you feed in your image dataset and it automatically learns the optimal image transformation parameters. This results in more robust and accurate image classification or object detection models.
No commits in the last 6 months. Available on PyPI.
Use this if you are training deep learning models on image data and want to automatically optimize the image augmentation strategy without tedious manual hyperparameter tuning.
Not ideal if you are working with non-image data or if you need a simple, fixed set of image augmentations without any optimization.
Stars
25
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—
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 25, 2021
Commits (30d)
0
Dependencies
4
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