---
title: "Discussion on \"Critical Image Quality Metrics That Break Computer Vision in Production\" | Hashnode"
description: "Discussion on \"Critical Image Quality Metrics That Break Computer Vision in Production\". Vision models fail when real-world camera conditions diverge from training data. How to measure and audit blur, exposure, contrast, and compression artifacts."
url: "https://hashnode.com/posts/critical-image-quality-metrics-computer-vision/6af087ad9b5a2f02b53ea6f0"
---

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# [Critical Image Quality Metrics That Break Computer Vision in Production](https://hashnode.employabledatascientist.com/critical-image-quality-metrics-computer-vision?utm_source=hashnode&utm_medium=feed)

Vision models fail when real-world camera conditions diverge from training data. How to measure and audit blur, exposure, contrast, and compression artifacts.

5d ago · 6 min read · hashnode.employabledatascientist.com  
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## 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.

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