# fiftyone-embeddings-visualization

> Claude/Codex skill by [@voxel51](https://omgskills.com/library/voxel51/index.md) · 47 stars · Updated 2026-10-18

Visualizes datasets in 2D using embeddings with UMAP or t-SNE dimensionality reduction. Use when exploring dataset structure, finding clusters, identifying outliers, or understanding data distribution.

## Install

```sh
git clone https://github.com/voxel51/fiftyone-skills /tmp/fiftyone-skills && ln -s /tmp/fiftyone-skills/skills/fiftyone-embeddings-visualization ~/.claude/skills/fiftyone-embeddings-visualization
```

## From README

Embeddings Visualization in FiftyOne Key Directives ALWAYS follow these rules: Set context first Launch FiftyOne App Brain operators are delegated and require the app: Wait 5-10 seconds for initialization. Discover operators dynamically Compute embeddings before visualization Embeddings are required for dimensionality reduction: Close app when done Complete Workflow Step 1: Step 2: Verify Brain Plugin Step 3: Discover Brain Operators Step 4: Check for Existing Embeddings or Compute New Ones First, check if the dataset already has embeddings by looking at the operator schema: If embeddings exist: Skip to Step 5 and use the existing embeddings field.

## Links

- HTML page: https://omgskills.com/library/voxel51/fiftyone-skills/skills/fiftyone-embeddings-visualization/
- GitHub: https://github.com/voxel51/fiftyone-skills
- Author: [@voxel51](https://omgskills.com/library/voxel51/index.md)

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