DriveFace
This dataset contains cross-spectral facial biometric data collected from 70 participants (IDs ranging from 00 to 69) across multiple vehicular border-control scenarios and two acquisition sessions separated by several weeks. The dataset includes visible-spectrum enrollment facial images acquired under controlled indoor conditions using an iPhone 12 device, and near-infrared (NIR) in-vehicle probe images captured through automotive windows under realistic indoor and outdoor operational conditions. The dataset includes variations in illumination, weather, vehicle motion, subject pose, viewing angle, and window tint levels. A dedicated presentation attack detection (PAD) subset is also provided, containing print, replay, and mask-based attacks acquired under the same operational conditions. The dataset includes cropped facial images, protocol definition CSV files, and single-image and multi-pose evaluation protocols designed for face recognition, cross-spectral matching, and anti-spoofing research.