MPII Cooking Activities Dataset

This site hosts the MPII (Max Planck Institute for Informatics) Cooking Activities dataset as well the corresponding publications [1] and code.

Please contact us if you have questions

Change log

  • 21/01/14: added MATLAB code for sift-based part tracker
  • 13/09/26: updated pose challenge (version 1.1): Test frames now contain ids where to find them in full dataset.
  • 13/09/25: added continous pose challenge
  • 13/09/20: added 3D pose challenge [2]
  • 13/09: added detection results for download



The data is only to be used for scientific purposes and must not be republished other than by the Max Planck Institute for Informatics. The scientific use includes processing the data and showing it in publications and presentations. When using it please cite [1].

Activity Recognition dataset

Evaluation Code and data

Pose challenge

Continous pose challenge

Continous frames labeled with human pose (no published results on this so far).

Matlab Code for SIFT based Part Tracker

We highly recommend a download manager which allows to continue interrupted downloads, under Linux you could try wget. 


The authors would like to thank the annotators for the effort they put into this project, among others:
Seyed Mehdi Khodadad Hosseini, and Dragana Majstorovic


The dataset was recorded with a camera system from 4D View Solutions.

Help & Contact

If you need any help or have any suggestions feel free to contact Marcus Rohrbach.
We are looking forward to hear from your success of using the dataset.

Feel free to subsribe to our mailing list to get updates (

Related datasets of our group


[1] A Database for Fine Grained Activity Detection of Cooking Activities, M. Rohrbach, S. Amin, M. Andriluka and B. Schiele, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, (2012)

[2] Multi-View Pictorial Structures for 3D Human Pose Estimation, S. Amin, M. Andriluka, M. Rohrbach and B. Schiele, British Machine Vision Conference (BMVC), September, (2013)