Augmentations

The detailed page has moved to the features section: Augmentations.

In short, augmentations create additional variations of already annotated images. They are applied while building the dataset before training. Use them after your first training runs, once you understand which real-world variations the model is still missing.

Related pages:

• Trainer
• Annotation Editor
• YOLO ONNX and model weights