LICENSE_DukeMTMC-reID.txt

ATTRIBUTION PROTOCOL

If you use the DukeMTMC-reID data or any data derived from it, please cite our work as follows:

@article{zheng2017unlabeled,
  title={Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro},
  author={Zheng, Zhedong and Zheng, Liang and Yang, Yi},
  journal={arXiv preprint arXiv:1701.07717},
  year={2017}
}

and include this license and attribution protocol within any derivative work.


If you use the DukeMTMC data or any data derived from it, please cite the original work as follows:

@inproceedings{ristani2016MTMC,
  title =        {Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking},
  author =       {Ristani, Ergys and Solera, Francesco and Zou, Roger and Cucchiara, Rita and Tomasi, Carlo},
  booktitle =    {European Conference on Computer Vision workshop on Benchmarking Multi-Target Tracking},
  year =         {2016}
}

and include this license and attribution protocol within any derivative work.

If you publish data derived from DukeMTMC, the original dataset creators should first be notified. 
Any future dataset derived from DukeMTMC should include "DukeMTMC" in the title, as well as link to the 
original project website (http://vision.cs.duke.edu/DukeMTMC/).

The DukeMTMC dataset is made available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.txt)

You are free to:

    Share — copy and redistribute the material in any medium or format
    Adapt — remix, transform, and build upon the material 

Under the following terms:

    Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

    NonCommercial — You may not use the material for commercial purposes.

    ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

    No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.