YOLOv8-16bit/docs/reference/data/augment.md

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description: Detailed exploration into Ultralytics data augmentation methods including BaseTransform, MixUp, LetterBox, ToTensor, and more for enhancing model performance.
keywords: Ultralytics, Data Augmentation, BaseTransform, MixUp, RandomHSV, LetterBox, Albumentations, classify_transforms, classify_albumentations
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# Reference for `ultralytics/data/augment.py`

!!! note

    Full source code for 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).

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## ::: ultralytics.data.augment.BaseTransform
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## ::: ultralytics.data.augment.Compose
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## ::: ultralytics.data.augment.BaseMixTransform
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## ::: ultralytics.data.augment.Mosaic
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## ::: ultralytics.data.augment.MixUp
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## ::: ultralytics.data.augment.RandomPerspective
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## ::: ultralytics.data.augment.RandomHSV
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## ::: ultralytics.data.augment.RandomFlip
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## ::: ultralytics.data.augment.LetterBox
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## ::: ultralytics.data.augment.CopyPaste
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## ::: ultralytics.data.augment.Albumentations
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## ::: ultralytics.data.augment.Format
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## ::: ultralytics.data.augment.ClassifyLetterBox
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## ::: ultralytics.data.augment.CenterCrop
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## ::: ultralytics.data.augment.ToTensor
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## ::: ultralytics.data.augment.v8_transforms
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## ::: ultralytics.data.augment.classify_transforms
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## ::: ultralytics.data.augment.hsv2colorjitter
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## ::: ultralytics.data.augment.classify_albumentations
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