Kyushu University 4D Gait Database A (Straight) is composed of sequential 3D models and image sequences of people walking along straight trajectories. This database comprises 42 subjects with four sequences for each subject. For more details, please visit the page for Kyushu University 4D Gait Database A (Straight).

Kyushu University 4D Gait Database B (Curve) is composed of sequential 3D models and image sequences of people walking along curved trajectories. This database comprises 42 subjects with two sequences for each subject. For more details, please visit the page for Kyushu University 4D Gait Database B (Curve).

Kyushu University Infrared Shadow Gait Database is composed of time-series shadow images for 54 subjects. Each person has 6 sequences consiting of 3 different types of appearance. For more details, please visit the page for Kyushu University IR Shadow Database .

DogCentric Activity Dataset is composed of dog activity videos taken from a first-person animal viewpoint. For more details, please visit the page for DogCentric Activity Dataset.

JPL Mars Yard Database is built to understand terrain types from various sensors, such as RGB and IR. It has 2 datasets;
    1. Semantic Dataset 1: Understanding Terrain Types from RGB and IR,
    2. Virtual Sensor Dataset 1: Deriving RGB-to-IR mapping models.

For more details, please visit the page for JPL Mars Yard Database.