How to Avoid Bias in Computer Vision Models?

Learn latest best practices to detect and avoid bias in your computer vision development pipelines in 2025.

Bias is a systematic error that crops up during computer vision model development. It skews training and testing, leading to what is known as "AI hallucinations". How to detect and avoid bias? We answer that question today.

In our post:

• What is AI bias?
• 7 steps to mitigate bias

Bias negatively affects the bottom line of your model and business. Address bias during development, not after production.