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Contact for advertisingBasic Usage Guides 🔗
This section provides guides for common augmentation tasks, data types, and optimization strategies.
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Optimizing Pipelines for Speed: Strategies to make your augmentation pipelines run faster and avoid CPU bottlenecks.
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Choosing Augmentations for Generalization: How to select augmentations that help improve your model's performance on unseen data.
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Image Classification: Augmenting images for classification tasks.
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Semantic Segmentation: Augmenting images and corresponding segmentation masks.
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Object Detection (Bounding Boxes): Augmenting images and bounding boxes, including format handling.
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Keypoint Augmentation: Augmenting images and associated keypoints.
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Video Augmentation: Applying consistent augmentations across sequences of images (video frames).
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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.