# Embeddings Visualization Visualize your dataset in 2D using UMAP or t-SNE to explore structure, find clusters, and identify outliers. ## Install ```bash curl -sL skil.sh | sh -s -- voxel51/fiftyone-skills ``` When prompted, select **fiftyone-embeddings-visualization** from the menu. ## Requirements - [FiftyOne](https://docs.voxel51.com/getting_started/install.html) - [FiftyOne MCP Server](https://github.com/voxel51/fiftyone-mcp-server) - [`@voxel51/brain`](https://github.com/voxel51/fiftyone-plugins/tree/main/plugins/brain) plugin ## Usage Load a dataset in FiftyOne, then ask your AI assistant: ```default "Visualize my dataset embeddings with UMAP" "Compute CLIP embeddings and show the 2D projection" "Color the embedding plot by class label and find outliers" ``` The skill computes embeddings if they don’t exist, reduces them to 2D, and opens the Embeddings panel in the FiftyOne App. ## Example ```python import fiftyone as fo import fiftyone.zoo as foz dataset = foz.load_zoo_dataset("quickstart") ``` Then ask your assistant: ```default "Compute CLIP embeddings for quickstart and show a UMAP visualization" ``` ## See also - [Embeddings visualization docs](https://docs.voxel51.com/brain.html#visualizing-embeddings) - [FiftyOne Brain](https://github.com/voxel51/fiftyone-brain)