SSP-3D, short for Sports Shape and Pose 3D, is an evaluation dataset consisting of 311 images of athletes wearing tights, covering a variety of body shapes and poses. These images come from the Sports-1M dataset.

SSP-3D is designed to serve as a baseline for body shape prediction methods. Pseudo ground truth 3D shape labels (using the SMPL body model) are obtained through multi-frame optimization, and the shapes are consistent from frame to frame.