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casia2groundtruth

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Groundtruth images of tampering dataset CASIA 2.0

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# Groundtruth of spliced images in dataset CASIA 2.0

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

![Tp_D_CRN_M_N_pla00035_pla00033_10997.jpg](https://i.imgur.com/7AmV8Wx.jpg)
![Tp_D_CRN_M_N_pla00035_pla00033_10997_gt.png](https://i.imgur.com/3eFze2H.png)

![Tp_D_CRN_S_N_nat00033_cha00086_11502.jpg](https://i.imgur.com/6TgSMcG.jpg)
![Tp_D_CRN_S_N_nat00033_cha00086_11502_gt.png](https://i.imgur.com/3Pd5DK0.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](https://pastebin.com/BBdwR3cX) 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}
        }

casia2groundtruth

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