yoloserv/downloads/ultralytics-main/docs/reference/data/augment.md

description	keywords
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

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). Help us fix any issues you see by submitting a [Pull Request](https://docs.ultralytics.com/help/contributing/) 🛠️. Thank you 🙏!

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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