---
title: "Discussion on \"Detecting Hidden Outliers in Visual AI Datasets with Embeddings and UMAP\" | Hashnode"
description: "Discussion on \"Detecting Hidden Outliers in Visual AI Datasets with Embeddings and UMAP\". Uncover silent data anomalies before production failure. How to use foundation model embeddings, Local Outlier Factor (LOF), and UMAP projections."
url: "https://hashnode.com/posts/detecting-hidden-outliers-visual-ai-embeddings/6af1d909617e673905828127"
---

[Feed](https://hashnode.com/feed) /

Discussion

# [Detecting Hidden Outliers in Visual AI Datasets with Embeddings and UMAP](https://hashnode.employabledatascientist.com/detecting-hidden-outliers-visual-ai-embeddings?utm_source=hashnode&utm_medium=feed)

Uncover silent data anomalies before production failure. How to use foundation model embeddings, Local Outlier Factor (LOF), and UMAP projections.

6d ago · 6 min read · hashnode.employabledatascientist.com  
Read the article

-   [#vision-multimodal](https://hashnode.com/tag/vision-multimodal)
-   [#ai-engineering](https://hashnode.com/tag/ai-engineering)
-   [#evaluation-safety](https://hashnode.com/tag/evaluation-safety)
-   [#machine-learning](https://hashnode.com/tag/machine-learning)
-   [#computer-vision](https://hashnode.com/tag/computer-vision)
-   [#python](https://hashnode.com/tag/python)

## Written by

[Harpreet Sahota](https://hashnode.com/@datascienceharp)

@datascienceharp

  
[View profile](https://hashnode.com/@datascienceharp)

Hacker-in-Residence at The Employable Data Scientist

I'm Harpreet Sahota, Hacker-in-Residence at The Employable Data Scientist, a technical consultancy for AI and developer-tool teams, and host of the Artists of Intelligence podcast. I write about AI engineering, computer vision, agent evaluation, and physical AI, with working code and real numbers. Before that, I led developer relations at Voxel51 and Deci AI.

## Responses

Markdown supported · ⌘↵ to post

No responses yet.