Basic Usage Guides

This section provides guides for common augmentation tasks, data types, and optimization strategies.

• Optimizing Pipelines for Speed: Strategies to make your augmentation pipelines run faster and avoid CPU bottlenecks.

• Choosing Augmentations for Generalization: How to select augmentations that help improve your model's performance on unseen data.

• Image Classification: Augmenting images for classification tasks.

• Semantic Segmentation: Augmenting images and corresponding segmentation masks.

• Object Detection (Bounding Boxes): Augmenting images and bounding boxes, including format handling.

• Keypoint Augmentation: Augmenting images and associated keypoints.

• Video Augmentation: Applying consistent augmentations across sequences of images (video frames).

• Volumetric Augmentation: Working with 3D data like CT or MRI scans and corresponding 3D masks.

Where to Go Next?

After exploring the basic usage examples relevant to your task, you might want to:

• Dive into Advanced Guides: Explore topics like creating custom transforms, serialization, or using additional targets.
• Revisit Core Concepts: Solidify your understanding of transforms, pipelines, targets, and probabilities.
• Visually Explore Transforms: Experiment with the full range of available augmentations.