/FAIR-Play

2.5D visual sound dataset

Creative Commons Attribution 4.0 InternationalCC-BY-4.0

FAIR-Play Dataset from 2.5D Visual Sound

[Project Page] [arXiv] [Video]

If you have trouble in downloading the dataset through GitHub, you can also download it through UT Box.


2.5D Visual Sound
Ruohan Gao1 and Kristen Grauman2
1UT Austin, 2Facebook AI Research
In Conference on Computer Vision and Pattern Recognition (CVPR), 2019


This repository (~100G) contains the FAIR-Play dataset we collected and used in our CVPR 2019 paper. It contains 1,871 video clips and their corresponding binaural audio clips recorded in a music room. The video clip and binaural clip of the same index are roughly aligned. The splits directory contains the 10 random splits used in the paper. The code is shared at 2.5D Visual Sound Code.

If you find our data or project useful in your research, please cite:

    @inproceedings{gao2019visualsound,
      title={2.5D Visual Sound},
      author={Gao, Ruohan and Grauman, Kristen},
      booktitle={CVPR},
      year={2019}
    }

Acknowlegements

We would like to thank Tony Miller, Jacob Donley, Pablo Hoffmann and Vladimir Tourbabin from Facebook for helpful discussions and the volunteers who participate in our data collection.

Licence

FAIR-Play is CC BY 4.0 licensed, as found in the LICENSE file.