VIPL-HR is a dataset for remote heart rate estimation based on facial videos under less constraints. The dataset involves 107 subjects and contains 2,378 visible light videos and 752 near-infrared videos.

The dataset covers a variety of variations such as head motion, lighting changes, and different sensors.