Docs Prettier reformat (#13483)
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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@ -108,29 +108,29 @@ YOLOv5 employs various data augmentation techniques to improve the model's abili
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- **Mosaic Augmentation**: An image processing technique that combines four training images into one in ways that encourage object detection models to better handle various object scales and translations.
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- **Copy-Paste Augmentation**: An innovative data augmentation method that copies random patches from an image and pastes them onto another randomly chosen image, effectively generating a new training sample.
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- **Random Affine Transformations**: This includes random rotation, scaling, translation, and shearing of the images.
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- **MixUp Augmentation**: A method that creates composite images by taking a linear combination of two images and their associated labels.
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- **Albumentations**: A powerful library for image augmenting that supports a wide variety of augmentation techniques.
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- **HSV Augmentation**: Random changes to the Hue, Saturation, and Value of the images.
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- **Random Horizontal Flip**: An augmentation method that randomly flips images horizontally.
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## 3. Training Strategies
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