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100 lines
1.8 KiB
Markdown
100 lines
1.8 KiB
Markdown
---
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description: Use Ultralytics YOLO Data Augmentation transforms with Base, MixUp, and Albumentations for object detection and classification.
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keywords: YOLO, data augmentation, transforms, BaseTransform, MixUp, RandomHSV, Albumentations, ToTensor, classify_transforms, classify_albumentations
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---
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## BaseTransform
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---
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### ::: ultralytics.yolo.data.augment.BaseTransform
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## Compose
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---
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### ::: ultralytics.yolo.data.augment.Compose
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## BaseMixTransform
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---
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### ::: ultralytics.yolo.data.augment.BaseMixTransform
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## Mosaic
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---
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### ::: ultralytics.yolo.data.augment.Mosaic
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## MixUp
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---
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### ::: ultralytics.yolo.data.augment.MixUp
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## RandomPerspective
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---
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### ::: ultralytics.yolo.data.augment.RandomPerspective
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## RandomHSV
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---
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### ::: ultralytics.yolo.data.augment.RandomHSV
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<br><br>
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## RandomFlip
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---
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### ::: ultralytics.yolo.data.augment.RandomFlip
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## LetterBox
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---
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### ::: ultralytics.yolo.data.augment.LetterBox
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## CopyPaste
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---
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### ::: ultralytics.yolo.data.augment.CopyPaste
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## Albumentations
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---
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### ::: ultralytics.yolo.data.augment.Albumentations
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<br><br>
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## Format
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---
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### ::: ultralytics.yolo.data.augment.Format
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## ClassifyLetterBox
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---
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### ::: ultralytics.yolo.data.augment.ClassifyLetterBox
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## CenterCrop
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---
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### ::: ultralytics.yolo.data.augment.CenterCrop
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## ToTensor
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---
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### ::: ultralytics.yolo.data.augment.ToTensor
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## v8_transforms
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---
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### ::: ultralytics.yolo.data.augment.v8_transforms
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## classify_transforms
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---
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### ::: ultralytics.yolo.data.augment.classify_transforms
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<br><br>
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## hsv2colorjitter
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---
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### ::: ultralytics.yolo.data.augment.hsv2colorjitter
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## classify_albumentations
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---
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### ::: ultralytics.yolo.data.augment.classify_albumentations
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