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.
Written by
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.