The MAPIR Faces Dataset (publication still pending) is a collection of face images from 16 different individuals. Each individual has approximately 49 images uniformly distributed in a 7x7 grid over the head pose space defined by: Pitch \(\in (-65.0,~65.0)\) Yaw \(\in (-35.0,~35.0)\) This dataset is designed as a benchmark to analyze the effect of detrimental factors due to pose variance in face recognition algorithms.