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Data

A comprehensive data handling pipeline with modular components for anomaly detection tasks.

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:::{grid-item-card} {octicon}package Data Classes ๐Ÿ”— ./dataclasses/index :link-type: doc :class-card: custom-card

Core data structures that define how data is represented and validated throughout the pipeline. Features type-safe containers, dual backend support, and automatic validation.

+++ Learn more ยป :::

:::{grid-item-card} {octicon}database Datasets ๐Ÿ”— ./datasets/index :link-type: doc :class-card: custom-card

Ready-to-use PyTorch Dataset implementations of standard benchmark datasets (MVTecAD, BTech) and support for custom datasets across multiple modalities (Image, Video, Depth).

+++ Learn more ยป :::

:::{grid-item-card} {octicon}workflow Data Modules ๐Ÿ”— ./datamodules/index :link-type: doc :class-card: custom-card

Lightning implementations of these PyTorch datasets that provide automated data loading, train/val/test splitting, and distributed training support through the PyTorch Lightning DataModule interface.

+++ Learn more ยป ::: ::::

Additional Resources

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:::{grid-item-card} {octicon}tools Data Utils ๐Ÿ”— ./utils/index :link-type: doc

Helper functions and utilities for data processing and augmentation. :::

:::{grid-item-card} {octicon}book Tutorials ๐Ÿ”— ../tutorials/index :link-type: doc

Step-by-step guides on using the data components. ::: ::::

:caption: Data Components
:hidden:

./dataclasses/index
./datasets/index
./datamodules/index
./utils/index