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Detailed exploration into Ultralytics data augmentation methods including BaseTransform, MixUp, LetterBox, ToTensor, and more for enhancing model performance. Ultralytics, Data Augmentation, BaseTransform, MixUp, RandomHSV, LetterBox, Albumentations, classify_transforms, classify_albumentations

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.ClassifyLetterBox



::: ultralytics.data.augment.CenterCrop



::: ultralytics.data.augment.ToTensor



::: ultralytics.data.augment.v8_transforms



::: ultralytics.data.augment.classify_transforms



::: ultralytics.data.augment.hsv2colorjitter



::: ultralytics.data.augment.classify_albumentations