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

---

:::ultralytics.yolo.data.augment.BaseTransform

Compose

---

:::ultralytics.yolo.data.augment.Compose

BaseMixTransform

---

:::ultralytics.yolo.data.augment.BaseMixTransform

Mosaic

---

:::ultralytics.yolo.data.augment.Mosaic

MixUp

---

:::ultralytics.yolo.data.augment.MixUp

RandomPerspective

---

:::ultralytics.yolo.data.augment.RandomPerspective

RandomHSV

---

:::ultralytics.yolo.data.augment.RandomHSV

RandomFlip

---

:::ultralytics.yolo.data.augment.RandomFlip

LetterBox

---

:::ultralytics.yolo.data.augment.LetterBox

CopyPaste

---

:::ultralytics.yolo.data.augment.CopyPaste

Albumentations

---

:::ultralytics.yolo.data.augment.Albumentations

Format

---

:::ultralytics.yolo.data.augment.Format

ClassifyLetterBox

---

:::ultralytics.yolo.data.augment.ClassifyLetterBox

CenterCrop

---

:::ultralytics.yolo.data.augment.CenterCrop

ToTensor

---

:::ultralytics.yolo.data.augment.ToTensor

v8_transforms

---

:::ultralytics.yolo.data.augment.v8_transforms

classify_transforms

---

:::ultralytics.yolo.data.augment.classify_transforms

classify_albumentations

---

:::ultralytics.yolo.data.augment.classify_albumentations