Yale B Facial Database: Pre-processed Face Images for Illumination Research

The Yale B database is one of the most commonly used facial databases for illumination preprocessing research in face recognition. This dataset contains pre-cropped frontal facial images from 10 subjects, with 64 images per person totaling 640 images. The images are ready for immediate use in research implementations, typically requiring basic Python/Matlab code for loading and normalization such as OpenCV's imread() or PIL's Image.open() functions with reshape operations to standardize dimensions.