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Re-Identification Across Indoor-Outdoor Dataset (RAiD)

RAiD_Data_Sample_Images

 

DOWNLOADING THE DATASET

The github repository link of the dataset is https://github.com/dasabir/RAiD_Dataset.git. There are several ways in which you can download the dataset. Some are listed below.

To download only the data you don't have to clone the repository fully. You can get the dataset by running the following command in a command line client (e.g. gitbash in Windows or the terminal in Linux or mac osx based operating systems) or a gui based client (e.g. gitGUI or TortoiseGit).

git clone https://github.com/dasabir/RAiD_Dataset.git && rm -rf RAiD_Dataset/.git

 

If you use subversion(svn) you can also do it easily by exporting using a GUI based svn client (e.g. Tortoisesvn) or by issuing the following command in a command line client (e.g. sliksvn in Windows or the terminal in Linux or mac osx based operating systems).

svn export https://github.com/dasabir/RAiD_Dataset/trunk/

 

If you don't use git or svn then you can download the dataset from here (140 MB).

CONTENTS OF THE DATASET

In this package, you will find the datset as a Matlab '.mat' file splitted into 3 zip archives, namely RAiD_4Cams.zip.001, RAiD_4Cams.zip.002 and RAiD_4Cams.zip.003. You will also find a 'README.txt' file which has the details about the dataset.

ACKNOWLEDGING THE DATASET IN YOUR PUBLICATIONS

Please refer to the following article when using this dataset:
@inproceedings{Das2014,
   title={Consistent Re-identification in a Camera Network},
   author={Abir Das and Anirban Chakraborty and Amit K Roy-Chowdhury},
   booktitle={European Conference on Computer Vision},
   year={2014},
   publisher={Springer},
   location={Zurich},
   series={Lecture Notes in Computer Science},
   volume={8690},
   pages={330--345},
}