![Enterprise Skill](https://img.shields.io/badge/Enterprise-Skill-orange)

# Data Enrichment

Take a raw dataset with no metadata or labels and enrich it with image properties, CLIP embeddings, and a UMAP visualization — ready for semantic search, duplicate detection, and downstream labeling workflows.

![Data Enrichment](https://cdn.voxel51.com/fiftyone-internal-skills/data_enrichment.webp)

## Requirements

[FiftyOne Enterprise](https://voxel51.com/fiftyone-teams)

[FiftyOne MCP Server](https://github.com/voxel51/fiftyone-mcp-server)

## Usage

Ask your AI assistant:

```default
"Enrich my dataset"
"Compute embeddings for my images"
"Set up my dataset for semantic search"
"I have raw images with no metadata, where do I start?"
```

The skill audits existing fields first and skips any step already done. It then computes image metadata, CLIP embeddings, and a UMAP visualization as sequential delegated background jobs — each step waits for the previous one to finish before starting.

## See also

[FiftyOne Enterprise docs](https://docs.voxel51.com/enterprise/index.html)

[FiftyOne Brain](https://docs.voxel51.com/brain.html)