Datasets

HDR

The 'HDR dataset' contains more than 5000 Standard Dynamic Range (SDR) and High Dynamic Range (HDR) images captured using 23 different mobile devices of 7 major brands. A detailed description of the dataset is available in the journal paper "A New Dataset for Source Identification of High Dynamic Range Images", published on Sensors, 2018.

If you download and use contents of the 'HDR dataset' you agree to the following HDR license agreement. We are pleased to receive electronic copies of any publication making use of our database and to add your reference to the list of related publications.

 

VISION

The 'VISION dataset' contains more than 35000 images and videos captured using 35 different portable devices of 11 major brands. A detailed description of the dataset is available in the scientific, open acess paper "VISION: a video and image dataset for source identification", published on EURASIP Journal on Information Security on Dec. 2017, freely available at this url: https://link.springer.com/content/pdf/10.1186%2Fs13635-017-0067-2.pdf.

If you download and use contents of the 'VISION dataset' you agree to the following VISION license agreement. We are pleased to receive electronic copies of any publication making use of our database and to add your reference to the list of related publications.

ERRATA -- 17/04/2019

We regret to inform the VISION users that the following videos have been misplaced therefore we suggest to not consider them as native (and social) contents in your analysis.
- D03_V_flat_still_0002.mp4, D03_V_flatYT_still_0002.mp4, D03_V_flatWA_still_0002.mp4
- D19_V_flat_move_0002.mov, D19_V_flatYT_move_0002.mp4, D19_V_flatWA_move_0002.mp4

 

Image dataset for localization of double JPEG compression

Dataset used in the experiments reported in T.Bianchi, A.Piva, "Image Forgery Localization via Block-Grained Analysis of JPEG Artifacts",  IEEE Transactions on Information Forensics & Security, vol. 7,  no. 3,  June 2012,  pp. 1003 - 1017.

Creative Commons License
Image dataset for localization of double JPEG compression by Alessandro Nozzoli, Università di Firenze is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.

 

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