---

name: vision-validation description: "Wrap image data in VisionData, adapt loaders to BatchOutputFormat, run vision suites, and debug vision-format and backend issues." disable-model-invocation: true metadata: disco-role: operating license: NOASSERTION

vision-validation

Use this sub-skill for Deepchecks Vision tasks involving:

• VisionData construction for image classification, object detection, semantic segmentation, or image-only work
• BatchOutputFormat adapters for PyTorch, TensorFlow, or custom iterables
• vision suites and checks
• custom vision properties and scorers
• torch / torchvision / image-format troubleshooting

Route elsewhere

• Tabular Dataset workflows → tabular-validation
• NLP TextData workflows → nlp-validation
• Result saving, JSON/HTML export, or CI gating → results-and-integrations

Start here

• API reference
• Workflows
• Troubleshooting
• Smoke script

Keep in scope

• Prefer CPU-safe, local-only examples.
• Keep EuroSAT, COCO, DETR, and Hugging Face downloads reference-only; do not make them runtime requirements here.
• General install/import problems belong in the root deepchecks troubleshooting guide, not in this sub-skill.
• Use task_type='other' only for image-only checks or custom formats that do not fit the built-in label/prediction shapes.