# Detecting Bias in Datasets % Includes Parity, Coverage, Balance ## What is it ## When to use it The `Coverage` class should be used when you have lots of images, but only a small fraction from certain regimes/labels. The `Parity` class and similar should be used when you would like to determine if two datasets have statistically independent labels. ## Theory behind it