Image-Forgery-Datasets-List
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Available datasets for training and testing the method about Image Forgery Detection and Localization
Image Forgery Datasets
Image Tampering Datasets, Image Manipulations Datasets... A repo intend to collect most of datasets (training and evaluation) for the image forgery detection and localization.
图像篡改检测定位数据集收集
Summary
| Dataset name | mask | Image Format | Post-processing | Forgery types | Real/Forged Images | Train/Test Images | Download | Paper | Year |
|---|---|---|---|---|---|---|---|---|---|
| CASIA v1.0 | No | JPEG, TIFF | Splicing, copy move, removal | 800/921 | |||||
| CASIA v2.0 | No | TIFF, JPEG, BMP | Yes | Splicing, copy move, removal | 7491/5123 | 715/100 | http://forensics.idealtest.org/#/ , https://github.com/namtpham/casia1groundtruth , https://github.com/namtpham/casia2groundtruth | CASIA Image Tampering Detection Evaluation Database | 2013 |
| Columbia Gray | No | BMP | No | Splicing | 933/912 | 1845, 933 Authentic, 912 Spliced, 128 x 128 | https://www.ee.columbia.edu/ln/dvmm/downloads/AuthSplicedDataSet/AuthSplicedDataSet.htm | A data set of authentic and spliced image blocks | 2004 |
| Columbia Color | Yes | TIFF | No | Splicing | 183/180 | 125/45 | Columbia Uncompressed Image Splicing Detection Evaluation Dataset: https://www.ee.columbia.edu/ln/dvmm/downloads/authsplcuncmp/ | Detecting Image Splicing using Geometry Invariants and Camera Characteristics Consistency | 2006 |
| NIST 2016(Nimble Challenge 2016 (NC16)), NC17, MFC18 | JPEG | Yes | Splicing, copy move, removal | 560/564 | 184/50 | NC17: https://www.nist.gov/itl/iad/mig/nimble-challenge-2017-evaluation; MFC18: https://www.nist.gov/itl/iad/mig/media-forensics-challenge-2018; REF: https://mfc.nist.gov/#pills-resources | MFC Datasets: Large-Scale Benchmark Datasets for Media Forensic Challenge Evaluation | 2019 | |
| Fantastic Reality | JPEG | No | Splicing | 16592/19423 | 12000/1000 | http://zefirus.org/MAG | The Point Where Reality Meets Fantasy: Mixed Adversarial Generators for Image Splice Detection | NeurIPS '19 | |
| Carvalho | yes | PNG | yes | splicing | 100/100 | 94, | http://www.ic.unicamp.br/tjose/files/database-tifs-small-resolution.zip (BROKEN) http://ic.unicamp.br/~rocha/pub/downloads/2014-tiago-carvalho-thesis/tifs-database.zip | Exposing digital image forgeries by illumination color classification | TIFS '13 |
| Realistic Tampering | TIFF | object insertion , removal. | 220 | https://pkorus.pl/downloads/dataset-realistic-tampering | Multi-scale analysis strategies in prnu-based tampering localization | TIFS '16 | |||
| COVERAGE | TIFF | No | Copy move | 100 pairs, 400 x486 | https://github.com/wenbihan/coverage | COVERAGE — A novel database for copy-move forgery detection | ICIP '16 | ||
| CoMoFoD | Yes | Copy move | 260/260 | 260 sets | https://www.vcl.fer.hr/comofod/ | CoMoFoD — New database for copy-move forgery detection | 2013 | ||
| MICC F220/F2000 | copy move | 110/110, 440/160, 1300/700 | 2200 | A SIFT-Based Forensic Method for Copy–Move Attack Detection and Transformation Recovery | TIFS '11 | ||||
| FAU/Manip | Yes | Copy move | 48 | http://www5.cs.fau.de/research/data/image-manipulation/index.html | An Evaluation of Popular Copy-Move Forgery Detection Approaches | TIFS '12 | |||
| Dresden | http://forensics.inf.tu-dresden.de/ddimgdb/ | The Dresden Image Database for Benchmarking Digital Image Forensics | SAC '10 | ||||||
| GRIP | Copy move | http://www.grip.unina.it/download/prog/CMFD/ | Efficient dense-field copy-move forgery detection | TIFS '15 | |||||
| IMD2020 | Yes | Splicing, copy move, removal | 35000/35000 | 2010 | http://staff.utia.cas.cz/novozada/db/ | An evaluation of popular copy-move forgery detection approaches | WACV '20 | ||
| In the Wild | Yes | Splicing | -/201 | https://minyoungg.github.io/selfconsistency/ | Fighting Fake News: Image Splice Detection via Learned Self-Consistency | ECCV '18 | |||
| DEFACTO | Splicing, copy move, removal | -/229000 | https://defactodataset.github.io/ | http://www.eurecom.fr/en/publication/5973/download/sec-publi-5973.pdf | |||||
| PS-battles | Splicing, copy move, removal | 11142/102028 | https://github.com/tophatraptor/psdetector.git . Link: https://github.com/dbisUnibas/PS-Battles | The PS-battles dataset—an image collection for image manipulation detection | CoRR '18 | ||||
| Wild Web | Yes | PNG | splicing | 90/9657 | Detecting image splicing in the wild (WEB) | ICMEW '15 | |||
| VIPP Synth | yes | JPEG | splicing | 4800/4800 | Image Forgery Localization via Block-Grained Analysis of JPEG Artifacts | TIFS '12 | |||
| VIPP Real | manual | JPEG | splicing | 69/69 | Image Forgery Localization via Block-Grained Analysis of JPEG Artifacts | TIFS '12 | |||
| Image Provenance Analysis at Scale | TIP '18 | ||||||||
| AbhAS | JPEG | splicing | 45/48 | AbhAS: A Novel Realistic Image Splicing Forensics Dataset | Journal of Applied Security Research '22 | ||||
| MISD | Yes | JPEG | Yes | splicing | 618/300 | https://zenodo.org/records/5525829 | Multiple Image Splicing Dataset (MISD): A Dataset for Multiple Splicing | Data '21 | |
| DSO-1 | Yes | JPEG | splicing | 100/100 | https://recodbr.wordpress.com/code-n-data/#dso1_dsi1 | Exposing digital image forgeries by illumination color classification | TIFS '13 | ||
| DIS25k | Yes | JPG | deep image harmonization | splicing | 0/24964 | 21376/3588 | https://github.com/99eren99/DIS25k Dataset: https://www.kaggle.com/datasets/erentahir/dis25k | Deep Image Composition Meets Image Forgery | 2024 |
| tampCOCO | Yes | https://www.kaggle.com/datasets/qsii24/tampcoco | CAT-Net | IJCV '22 | |||||
| compRAISE | Yes | https://www.kaggle.com/datasets/qsii24/compraise | CAT-Net | IJCV '22 | |||||
| CocoGlide | https://www.grip.unina.it/download/prog/TruFor/CocoGlide.zip | TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization | CVPR '23 | ||||||
| DocTamper | Yes | JPEG | Copy-Move, Splicing, AI-Generated Text-Based Forgeries | 0/170,000 | 120,000/50,000 | BaiduDrive,Kaggle | Paper | 2024 | |
| OSTF | Yes | JPEG | AI-Generated Text-Based and Image-based Forgeries | 62,278/6998 | GoogleDrive | Paper | 2024 |
Details
CASIA v2
Fantasatic Reality
IMD2020
Paper: IMD2020: A Large-Scale Annotated Dataset Tailored for Detecting Manipulated Images
Project Page: http://staff.utia.cas.cz/novozada/db/
Download: http://staff.utia.cas.cz/novozada/db/
NC16 Splicing
Appear in: [1]P. Zhuang, H. Li, S. Tan, B. Li, and J. Huang, “Image Tampering Localization Using a Dense Fully Convolutional Network,” Ieee T Inf Foren Sec, vol. 16, pp. 2986–2999, 2021, doi: 10.1109/tifs.2021.3070444.
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Artificial PS dataset with post-processing on boundary (PS-boundary)
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Artificial PS dataset with arbitrary post-processing (PS-arbitrary)
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NIST 2016 dataset (NIST-2016)
Image Splicing
Train
Dresden(16961 images)
Paper: The 'Dresden Image Database' for benchmarking digital image forensics SAC '10
Official: http://forensics.inf.tu-dresden.de/dresden_image_database/ (Cannot be ACCESSED)
DEFACTO database
- Dataset contains over 200,000 forged images with different kind of manipulations.
- Paper Link
- Dataset Download Link
Vision(34427 images)
Socrates(8742 images)
FODB (23106 images)
Kaggle (2750 images)
Test
Columbia (363 images, 180 spliced)
https://www.ee.columbia.edu/ln/dvmm/newDownloads.htm
Columbia Uncompressed Image Splicing DetectionColumbia Uncompressed Image Splicing Detection: https://www.dropbox.com/sh/786qv3yhvc7s9ki/AACbEEzGPrD3_y38bpWHzgdqa?dl=0
Columbia Image Splicing Detection Evaluation Dataset: https://www.dropbox.com/s/bo10et4p1zg08aj/ImSpliceDataset.rar?dl=0
Carvalho/DSO (200 images, 100 spliced)
Realistic Tampering (RT)/Korus (440 images, 220 spliced)
Description: This dataset contains 220 realistic forgeries created by hand in modern photo-editing software (GIMP and Affinity Photo) and covers various challenging tampering scenarios involving both object insertion and removal...
Citation: Pawel Korus and Jiwu Huang. Multi-scale analysis strategiesin prnu-based tampering localization. Trans. Info. For. Sec.,12(4):809–824, apr 2017.
Page: https://pkorus.pl/downloads/dataset-realistic-tampering
Download: realistic-tampering-dataset.zip via google drive (1.7 GB) you'll need request access
Copy Move
GRIP
CPH
GRIP
CMH
CoMoFoD
Small image category database: 512 x 512, 200 image sets, 40 images per transformation type, total number of images with post-processed images = 10400. Large image category database (please contact us for downloading): 3000 x 2000, 60 image sets, 10/20 images per transformation type, total number of images with postprocessed images = 3120.
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Paper: CoMoFoD — New database for copy-move forgery detection
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Project Page: https://www.vcl.fer.hr/comofod/download.html
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Download:
- https://www.vcl.fer.hr/comofod/comofod_small.rar (Official, for the 200 image sets of Small image category database)
- Large image category database, I would recommend you contact [email protected], a quick reply in one hour.
Removal
Image Inpainting
DeepFake
Useful Link
- Information Forensics and Security
- Forensics Dataset
- Pattern Recognition Lab, FAU, https://lme.tf.fau.de/category/dataset/
| Name | Paper | Project | Download | Type | Remarks |
|---|---|---|---|---|---|
| Columbia | |||||
| CASIA | |||||
| MICC | |||||
| IMD | |||||
| CoMoFoD | |||||
| COVERAGE | |||||
| GRIP | |||||
| FAU | |||||
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