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Groundtruth of spliced images in dataset CASIA 2.0

Tp_D_CRN_M_N_pla00035_pla00033_10997.jpg Tp_D_CRN_M_N_pla00035_pla00033_10997_gt.png

Tp_D_CRN_S_N_nat00033_cha00086_11502.jpg Tp_D_CRN_S_N_nat00033_cha00086_11502_gt.png

  • 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}
 }