MPII Human Pose
The MPII Human Pose Dataset for single person pose estimation is composed of about 25K images of which 15K are training samples, 3K are validation samples and 7K are testing samples (which labels are withheld by the authors). The images are taken from YouTube videos covering 410 different human activities and the poses are manually annotated with up to 16 body joints.
Source: 2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning
Image Source: http://human-pose.mpi-inf.mpg.de/
Variants: MPII, MPII Multi-Person, MPII Single Person
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Pose Estimation | OmniPose (WASPv2) | OmniPose: A Multi-Scale Framework for … | 2021-03-18 |
Recent papers with results on this dataset: