PixOOD: Pixel-Level Out-of-Distribution Detection

PixOOD is an algorithm that detects out-of-distribution data (inputs that don't match patterns the AI learned from) at the pixel level, meaning it can identify anomalies in individual image pixels without needing to train on examples of bad data. The method uses a data condensation algorithm (a technique to compress training information efficiently) to model normal image variation and provides two different calibration approaches depending on the application's needs.