This site hosts the MPII (Max Planck Institute for Informatics) Cooking Composite Activities dataset as well the corresponding publications , and code.
Please contact us if you have questions
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 .
Activity Recognition dataset
- Raw data
- videos as avis (27 GB)
- Video features
- Attribute groundtruth as Matlab structure (see README)
- attribute Groundtruth-1-0 (42 MB)
- script data
See also our cooking activities dataset, which is a subset of this dataset, note that attribute annotations are, although similar, not identical to the ones used in the MPII cooking activities dataset.
Please contact Marcus Rohrbach if you have any questions or interested in other data not published.
We highly recommend a download manager which allows to continue interrupted downloads, under Linux you could try wget.
Supplemental material video
The authors would like to thank the annotators for the effort they put into this project, among others:
Amirhossein Baradaranshahroudi, Florin Haque, Seyed Mehdi Khodadad Hosseini, Dragana Majstorovic, and Banafsheh Sadry
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 (firstname.lastname@example.org).
Related datasets of our group
- MPII Cooking Activities (a subset focusing on detecting fine-grained activities)
- Saarbrücken Corpus of Textually Annotated Cooking Scenes (short: TACoS) textual descriptions for MPII Cooking Composite Activities
- MPII Multi-Kinect Dataset: Multi-view kinect object classification, recorded in the same kitchen
 Script Data for Attribute-based Recognition of Composite Activities, M. Rohrbach, M. Regneri, M. Andriluka, S. Amin, M. Pinkal and B. Schiele, European Conference on Computer Vision (ECCV), October, (2012)
 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)