Enrich dataset
Select AI models to enrich your dataset with labels, captions, and metadata using Visual Layer’s enrichment flow.
Dataset enrichment in Visual Layer is a two-step process:
- Select one or more enrichment models
- Run enrichment to generate new metadata for your dataset
This process adds structured metadata (e.g., labels, captions) to help improve dataset quality, enable better filtering, and power downstream automation.
Prerequisites
Verify Dataset is Ready
To ensure your dataset is ready for enrichment:
- Navigate to the Dataset View and confirm the status is READY.
- Alternatively, check the dataset status in the Dataset Inventory.
Step 1: Select Models
Open the Enrich Tab
Go to your dataset and click the Enrich tab.
Choose a Model
Select a model from the list and click Generate Models Preview.
(Optional) Add More Models
Click Add Models to include additional enrichment models.
Preview Model Outputs
Switch between selected models to preview their metadata output before enrichment.
Step 2: Enrich the Dataset
Start Enrichment
Click Enrich Dataset to run all selected models on the dataset.
- All images or frames will be enriched.
- Processing time varies based on dataset size.
Track Progress
You can monitor enrichment status in either location:
- Enrich tab inside the dataset view
- Notifications panel in the Dataset Inventory
You can continue exploring and interacting with your dataset while enrichment is in progress.
Explore the Enriched Dataset
Choose Exploration View
Open your dataset and select either:
- Images view(default)
- Objects view
Review Enrichment Metadata
Expand the VL Enrichment section in the right panel to view model-generated metadata.
Customize Cluster Card View
Choose which metadata to display directly on cluster cards:
- Labels
- Captions
- User Tags(manually created by users — see User Tags doc)