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Evaluation codes for DukeMTMC-reID Dataset

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DukeMTMC-reID Evaluation Code

Matlab codes for evaluating performance on DukeMTMC-reID Dataset.

Usage

  1. Calculate and save the feature for the query and gallery images of the dataset in advance;

  2. Change the query and gallery feature directory in the codes correspondingly;

  3. Run duke_evaluation.m to get the Rank1-Accuracy and mAP result.

Citation

If you use this code, please kindly cite this paper:

 @inproceedings{zheng2015scalable,
   title={Scalable Person Re-identification: A Benchmark},
   author={Zheng, Liang and Shen, Liyue and Tian, Lu and Wang, Shengjin and Wang, Jingdong and Tian, Qi},
   booktitle={Computer Vision, IEEE International Conference on},
   year={2015}
 }

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Evaluation codes for DukeMTMC-reID Dataset


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Language:MATLAB 94.0%Language:M 6.0%