Groundtruth of spliced images in dataset CASIA 2.0
- 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 notice that the authors made several mistakes in naming the files. 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 paper (https://res.mdpi.com/symmetry/symmetry-11-00083/article_deploy/symmetry-11-00083.pdf):
@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}
}