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Explore Ultralytics image augmentation techniques like MixUp, Mosaic, and Random Perspective for enhancing model training. Improve your deep learning models now. 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