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description: >-
  Explore Ultralytics image augmentation techniques like MixUp, Mosaic, and
  Random Perspective for enhancing model training. Improve your deep learning
  models now.
keywords: >-
  Ultralytics, image augmentation, MixUp, Mosaic, Random Perspective, deep
  learning, model training, YOLO

Reference for ultralytics/data/augment.py

!!! note

This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/augment.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/augment.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/augment.py) 🛠️. Thank you 🙏!

::: ultralytics.data.augment.BaseTransform





::: ultralytics.data.augment.Compose





::: ultralytics.data.augment.BaseMixTransform





::: ultralytics.data.augment.Mosaic





::: ultralytics.data.augment.MixUp





::: ultralytics.data.augment.RandomPerspective





::: ultralytics.data.augment.RandomHSV





::: ultralytics.data.augment.RandomFlip





::: ultralytics.data.augment.LetterBox





::: ultralytics.data.augment.CopyPaste





::: ultralytics.data.augment.Albumentations





::: ultralytics.data.augment.Format





::: ultralytics.data.augment.RandomLoadText





::: ultralytics.data.augment.ClassifyLetterBox





::: ultralytics.data.augment.CenterCrop





::: ultralytics.data.augment.ToTensor





::: ultralytics.data.augment.v8_transforms





::: ultralytics.data.augment.classify_transforms





::: ultralytics.data.augment.classify_augmentations