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CASIA 2.0 groundtruth dataset is avaiable at: https://github.com/namtpham/casia2groundtruth
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Please notice that the authors made mistakes in naming the files. If you already downloaded the dataset, I recommend you to rename the tampered images using the commands in the excel file. Otherwise, you can use the modified version of dataset.
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Since the owners' server is no longer avaiable, I upload the dataset to my drive, including original dataset and the modified version (renaming dozens of images in tampering folder). Please visit one of the following links to download (~90 MB):
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Google Drive: https://bit.ly/37TuHRx
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One Drive: https://bit.ly/3nXyYJw
Due to the lack of manual file, I write up here the naming convention:
Au_ani_0001.jpg
Au: Authentic
ani: animal category
Other categories: arc (architecture), art, cha (characters), nat (nature), pla (plants), sec, txt (texture)
a. Spliced image
Sp_D_CND_A_pla0005_pla0023_0281.jpg
- Sp: Splicing
- D: Different (means the tampered region was copied from the different image)
- Next 4 letters stand for the techniques they used to create the images. Unfortunately, I don't remember exactly.
- pla0005: the source image
- pla0023: the target image
- 0281: tampered image ID
b. Copy-move images
Sp_S_CND_A_pla0016_pla0016_0196.jpg
- Sp: 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
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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} }
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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} }