MPII Human Pose Dataset Dataset

Dataset details

Last updated: 15 Dec 2022
Meta Album ID HUM_ACT.ACT_410
Domain ID HUM_ACT
Domain Name Human Actions
Set Number 2
Dataset ID ACT_410
Dataset Name MPII Human Pose Dataset
Short Description MPII Human Pose Dataset with images of humans performing 410 activities.
Long Description The MPII Human Pose dataset (http://human-pose.mpi-inf.mpg.de/#download) is a state of the art benchmark for evaluation of articulated human pose estimation. It includes around 25 000 images containing over 40 000 people with annotated body joints. The images were systematically collected using an established taxonomy of every day human activities. Overall the dataset covers 410 human activities and each image is provided with an activity label. Each image was extracted from a YouTube video. Like other Meta-Album datasets, this dataset is preprocessed and all images are resized into 128x128 pixels.
# Classes 29
# Images 2402
Keywords human actions, sports
Data Format images
Image size 128x128
License
(original data release)
Simplified BSD License
License URL
(original data release)
http://human-pose.mpi-inf.mpg.de/#download
http://human-pose.mpi-inf.mpg.de/bsd.txt
License
(Meta-Album data release)
Simplified BSD License
License URL
(Meta-Album data release)
http://human-pose.mpi-inf.mpg.de/bsd.txt
Source MPII Human Pose Dataset
Source URL http://human-pose.mpi-inf.mpg.de/#download
Original Author Mykhaylo Andriluka and Leonid Pishchulin and Peter Gehler and Schiele, Bernt
Original contact leonid@mpi-inf.mpg.de
Meta Album author Jilin He
Created Date 01 March 2022
Contact Name Ihsan Ullah
Contact Email meta-album@chalearn.org
Contact URL https://meta-album.github.io/

Download Meta-data files

Download Dataset from OpenML

Dataset Version OpenML ID
Micro 44271 Download
Mini 44301 Download
Extended 44334 Download

Code to download dataset using OpenML API

      # import openml
      import openml
  
      # download dataset with DATASET_ID. DATASET_ID is OpenML ID
      dataset = openml.datasets.get_dataset(DATASET_ID)
  
      # display dataset info
      print(dataset.name)
              

Sample Images

Cite this dataset

@INPROCEEDINGS{6909866,  
    author={Andriluka, Mykhaylo and Pishchulin, Leonid and Gehler, Peter and Schiele, Bernt},  booktitle={2014 IEEE Conference on Computer Vision and Pattern Recognition},   
    title={2D Human Pose Estimation: New Benchmark and State of the Art Analysis},   
    year={2014},
    pages={3686-3693},  
    doi={10.1109/CVPR.2014.471}
}
              
Download as bib

Cite Meta-Album

  @inproceedings{meta-album-2022,
    title={Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification},
    author={Ullah, Ihsan and Carrion, Dustin and Escalera, Sergio and Guyon, Isabelle M and Huisman, Mike and Mohr, Felix and van Rijn, Jan N and Sun, Haozhe and Vanschoren, Joaquin and Vu, Phan Anh},
    booktitle={Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
    url = {https://meta-album.github.io/},
    year = {2022}
  }
              
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