Model Comparison, Explainability and Trust in Computer Vision
· 6 min read
Using Yu et al. (2024) as a comparison framework, I consider how conventional machine learning and deep learning could be evaluated for production-line visual inspection, and how their decisions could be explained to the people expected to act on them.