namtpham / casia2groundtruth

Groundtruth images of tampering dataset CASIA 2.0

Groundtruth of spliced images in dataset CASIA 2.0

• CASIA 1.0 groundtruth dataset is avaiable at: https://github.com/namtpham/casia1groundtruth

• Groundtruth dataset can be downloaded directly from this repository.

• Recently, I received several requests of the original dataset since the server is no longer available. I upload this dataset to my Drive to spread this dataset to the research community. Please visit the following link to download: (~2.6 GB)

• [Update 2022/04/14] Revised dataset: https://bit.ly/2QazgkG

I removed the download link of the original dataset to avoid the confusion. If you need it, feel free to email me.

• [Update 2019/09/30]: In this version, almost the noises in the previous version are handled. The file names are also revised carefully.

• List of duplicate authentic images provided by another researcher.

Please notice that the authors made many mistakes in naming the files. People who download the original dataset (before 2021/04/20) please rename the tampered images using the commands in the excel files. Originally, it was reported that there are 5123 tampered images, including 3274 copy-move images and 1849 spliced images. However, mistakenly classified files are renamed as follows.

No. of images	Originally named as	Re-classified as
39	Copy-move images (TP_S_)	Spliced images (S->D)
60	Spliced images (TP_D_)	Copy-move images (D->S)

    After renaming the files, the number of copy-move and spliced images are 3295 and 1828, respectively.

Due to the lack of manual file, I write up here the naming convention:

Authentic images:

Au_ani_00001.jpg Au: Authentic ani: animal category Other categories: arc (architecture), art, cha (characters), ind (indoor), nat (nature), pla (plants), txt (texture)

Tampering images

a. Spliced image

    Tp_D_CRN_S_N_cha00063_art00014_11818.jpg

• Tp: Tampering
• D: Different (means the tampered region was copied from the different image)
• Next 5 letters stand for the techniques they used to create the images. Unfortunately, I don't remember exactly.
• cha00063: the source image
• art00014: the target image
• 11818: tampered image ID

b. Copy-move images

    Tp_S_NRN_M_N_pla00020_pla00020_10988.jpg

• Tp: Tampering
• S: Same (means the tampered region was copied from the same image)
• And the rest is similar to case a.

If you use the groundtruth dataset for a scientific publication, please cite the following papers:

• CASIA dataset

    @inproceedings{Dong2013,
    doi = {10.1109/chinasip.2013.6625374},
    url = {https://doi.org/10.1109/chinasip.2013.6625374},
    year = {2013},
    month = jul,
    publisher = {{IEEE}},
    author = {Jing Dong and Wei Wang and Tieniu Tan},
    title = {{CASIA} Image Tampering Detection Evaluation Database},
    booktitle = {2013 {IEEE} China Summit and International Conference on Signal and Information Processing}
    }
  

• CASIA groundtruth dataset

   @article{pham2019hybrid,
   title={Hybrid Image-Retrieval Method for Image-Splicing Validation},
   author={Pham, Nam Thanh and Lee, Jong-Weon and Kwon, Goo-Rak and Park, Chun-Su},
   journal={Symmetry},
   volume={11},
   number={1},
   pages={83},
   year={2019},
   publisher={Multidisciplinary Digital Publishing Institute}
   }