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

---
description: Use Ultralytics YOLO Data Augmentation transforms with Base, MixUp, and Albumentations for object detection and classification.
---

# BaseTransform
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:::ultralytics.yolo.data.augment.BaseTransform
<br><br>

# Compose
---
:::ultralytics.yolo.data.augment.Compose
<br><br>

# BaseMixTransform
---
:::ultralytics.yolo.data.augment.BaseMixTransform
<br><br>

# Mosaic
---
:::ultralytics.yolo.data.augment.Mosaic
<br><br>

# MixUp
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:::ultralytics.yolo.data.augment.MixUp
<br><br>

# RandomPerspective
---
:::ultralytics.yolo.data.augment.RandomPerspective
<br><br>

# RandomHSV
---
:::ultralytics.yolo.data.augment.RandomHSV
<br><br>

# RandomFlip
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:::ultralytics.yolo.data.augment.RandomFlip
<br><br>

# LetterBox
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:::ultralytics.yolo.data.augment.LetterBox
<br><br>

# CopyPaste
---
:::ultralytics.yolo.data.augment.CopyPaste
<br><br>

# Albumentations
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:::ultralytics.yolo.data.augment.Albumentations
<br><br>

# Format
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:::ultralytics.yolo.data.augment.Format
<br><br>

# ClassifyLetterBox
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:::ultralytics.yolo.data.augment.ClassifyLetterBox
<br><br>

# CenterCrop
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:::ultralytics.yolo.data.augment.CenterCrop
<br><br>

# ToTensor
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:::ultralytics.yolo.data.augment.ToTensor
<br><br>

# v8_transforms
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:::ultralytics.yolo.data.augment.v8_transforms
<br><br>

# classify_transforms
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:::ultralytics.yolo.data.augment.classify_transforms
<br><br>

# hsv2colorjitter
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:::ultralytics.yolo.data.augment.hsv2colorjitter
<br><br>

# classify_albumentations
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:::ultralytics.yolo.data.augment.classify_albumentations
<br><br>