Human3.6M
Introduced in Human3.6m: Large scale datasets and predictive methods for 3D human sensing in natural environments2013
About this Dataset
The Human3.6M dataset is one of the largest motion capture datasets, which consists of 3.6 million human poses and corresponding images captured by a high-speed motion capture system. There are 4 high-resolution progressive scan cameras to acquire video data at 50 Hz. The dataset contains activities by 11 professional actors in 17 scenarios: discussion, smoking, taking photo, talking on the phone, etc., as well as provides accurate 3D joint positions and high-resolution videos.
Source: Space-Time Representation of People Based on 3D Skeletal Data: A Review
Image Source: Yu et al
Dataset Variants
