Detecting and Fixing Bias in Computer Vision Models
Detecting and Fixing Bias in Computer Vision Models Bias in computer vision can show as lower accuracy on some groups, unequal error rates, or skewed confidence. These issues hurt users and reinforce inequality. The goal is to discover problems, measure them clearly, and apply practical fixes that keep performance strong for everyone. Bias can stem from data, from model choices, or from how tests are designed. A careful process helps teams build fairer, more reliable systems. ...