• 5 min read
How To Avoid Bias In Computer Vision Models
SUMMARY
Bias in a computer vision model is the average error that persists after training, and it almost always traces back to data quality rather than model architecture. The practical mitigation steps covered here include collecting large and representative datasets, using active learning to surface gaps, running model error analysis,