---

name: "data-and-models" description: "Data modules, datasets, dataclasses, model registry, constructors, feature extraction, and custom data-layout guidance." metadata: disco-role: operating disable-model-invocation: true license: Apache 2.0

Data and Models

Use this sub-skill for anomalib questions about choosing, configuring, and debugging data or model entry points.

Use this when the user asks about

• Image datamodules: MVTecAD, Folder, Tabular, PredictDataset
• Video datamodules: Avenue, ShanghaiTech, UCSDped
• Depth datamodules: MVTec3D, Folder3D, ADAM3D
• Dataclasses and batch shapes: ImageItem, VideoItem, DepthItem, and their batch types
• Model registry and lookup: get_model, list_models, get_datamodule
• Core model constructors: Padim, Patchcore, EfficientAd, AiVad, Fuvas
• Backbone / layer selection and feature extraction with TimmFeatureExtractor
• Custom folder, tabular, video, or depth data layouts
• Unknown model names, registry lookup errors, or feature-layer mismatches

Do not use this when the user asks about

• Engine fit / validate / test / predict execution
• Export, deployment, or inference packaging
• Pipeline orchestration or benchmark automation
• CLI install mechanics
• Studio application content

Fast routing

• Data layout, dataclasses, and config shapes: references/data-and-models.md
• Model selection, constructors, and feature extraction: references/model-overview.md
• Failure modes, optional dependencies, and lookup errors: references/troubleshooting.md
• Lightweight discovery / validation helper: scripts/inspect_data_models.py

Primary source surfaces

• src/anomalib/data/**
• src/anomalib/models/**
• docs/source/markdown/guides/how_to/data/**
• docs/source/markdown/guides/how_to/models/**
• docs/source/markdown/guides/reference/data/index.md
• docs/source/markdown/guides/reference/models/index.md
• examples/api/02_data/**
• examples/api/03_models/**
• tests/unit/data/**
• tests/unit/models/**
• tests/integration/model/test_models.py

Helpful mental model

1. Choose the data family first: image, video, depth, custom folder, or tabular.
2. Confirm the datamodule layout and split mode before choosing a model.
3. For backbone-based image models, confirm the backbone / layer names before instantiating.
4. For video models, confirm clip length and target frame semantics.
5. If the user needs a quick sanity check, use the bundled inspection script instead of guessing.

Discovery and validation script

The bundled script can:

• list key datamodule and model constructors
• print the current list_models() registry
• validate custom folder layouts by calling anomalib's own folder parser
• validate custom tabular layouts with anomalib-style rules

Example invocations:

python scripts/inspect_data_models.py list
python scripts/inspect_data_models.py check-folder --help
python scripts/inspect_data_models.py check-tabular --help

Notes

• Prefer the exact public constructors and helpers documented in the bundled references.
• Keep training, export, and pipeline questions routed to the other sub-skills.
• Use the bundled references for exact argument defaults, path rules, and dependency caveats.