MPI Sintel Flow Dataset

A data set for the evaluation of optical flow derived from the open source 3D animated short film, Sintel.

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Key Features of the Dataset

Very long Sequences Large Motions Specular Reflections Motion Blur Defocus Blur Atmospheric Effects



Thursday, 24th August 2017

In the visualization of the flow results, it is now possible to see the input frames corresponding to the flow fields. The frames are shown as GIFs, which show the reference frame and the two following frames. Thanks to Rick Szeliski for the suggestion.

Monday, 23th February 2015

New training data is available! Please see the dedicated pages for Stereo and disparity, Depth and camera motion, and Segmentation.

Wednesday, 9th January 2013

For better transfer rates overseas, the big files are now additionally mirrored at the University of Washington.

Wednesday, 13th September 2012

Fixed a bug in the Bundler application. Please make sure to use the latest version.

Friday, 24th August 2012

Welcome to the Sintel Dataset. We're ready to accept submissions for your Optical flow methods, and open to questions or comments. Training and Test data are available for download (over http).

More Information

Referencing the Dataset in your work

Here are the Bibtex snippets for citing the Dataset in your work.

Main paper and benchmark:

title = {A naturalistic open source movie for optical flow evaluation},
author = {Butler, D. J. and Wulff, J. and Stanley, G. B. and Black, M. J.},
booktitle = {European Conf. on Computer Vision (ECCV)},
editor = {{A. Fitzgibbon et al. (Eds.)}},
publisher = {Springer-Verlag},
series = {Part IV, LNCS 7577},
month = oct,
pages = {611--625},
year = {2012}

Technical background:

 title = {Lessons and insights from creating a synthetic optical flow benchmark},
 author = {Wulff, J. and Butler, D. J. and Stanley, G. B. and Black, M. J.},
 booktitle = {ECCV Workshop on Unsolved Problems in Optical Flow and Stereo Estimation},
 editor = {{A. Fusiello et al. (Eds.)}},
 publisher = {Springer-Verlag},
 series = {Part II, LNCS 7584},
 month = oct,
 pages = {168--177},
 year = {2012}