A data set for the evaluation of optical flow derived from the open source 3D animated short film, Sintel.
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.
New training data is available! Please see the dedicated pages for Stereo and disparity, Depth and camera motion, and Segmentation.
For better transfer rates overseas, the big files are now additionally mirrored at the University of Washington.
Fixed a bug in the Bundler application. Please make sure to use the latest version.
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).
Here are the Bibtex snippets for citing the Dataset in your work.
@inproceedings{Butler:ECCV:2012,
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}
}
@inproceedings{Wulff:ECCVws:2012,
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}
}