Humans3.6M

by Catalin Ionescu,Dragos Papava,Vlad Olaru,Cristian SminchisescuUnknown

Humans3.6M

Diversity and Size 3.6 million 3D human poses and corresponding images 11 professional actors (6 male, 5 female) 17 scenarios (discussion, smoking, taking photo, talking on the phone...) Accurate Capture and Synchronization High-resolution 50Hz video from 4 calibrated cameras Accurate 3D joint positions and joint angles from high-speed motion capture system Pixel-level 24 body part labels for each configuration Time-of-flight range data 3D laser scans of the actors Accurate background subtraction, person bounding boxes Support for Development Precomputed image descriptors Software for visualization and discriminative human pose prediction Performance evaluation on withheld test set

Dataset Attributes

Label SVG
TasksPose Estimation
Label SVG
CategoriesHumans
Label SVG
SensorRGB Camera, TOF Sensor, Motion Capture, Laser Scanner