SSP-3D

该数据集名为SSP-3D，包含了311张穿着紧身衣的运动员图片，这些运动员体型各异，该数据集主要用于评估三维人体形状估计方法。此外，该数据集还用于通过顶点误差和交并比指标来评估T型姿势下形状估计的精度。规模上，该数据集包含311张图片，其任务是对三维人体形状进行估计。

Named SSP-3D, this dataset contains 311 images of athletes wearing tight-fitting sportswear, with diverse body shapes among the subjects. It is primarily used to evaluate 3D human shape estimation methods. Additionally, it can be employed to assess the accuracy of shape estimation under T-pose via two metrics: vertex error and Intersection over Union (IoU). In terms of scale, this dataset includes 311 images, and its core task is 3D human shape estimation.