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 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. Downloading procedure: - VISION: wget -i VISION_files.txt - VISION statistics: wget -i VISION_statistics_files.txt - VISION base: wget -i VISION_base_files.txt - VISION base statistics: wget -i VISION_base_statistics_files.txt ERRATA -- 16/04/2019 We regret to inform the VISION users that the following videos have been misplaced therefore we suggest to not consider them as native 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 Copyright (c) CSP Lab. (Communications & Signal Processing Laboratory), Dept Information Engineering, University of Florence, 2017 This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA. If you use this dataset for your research, please consider citing our paper (available at https://link.springer.com/article/10.1186/s13635-017-0067-2): @article{shullani2017vision, title={VISION: a video and image dataset for source identification}, author={Shullani, Dasara and Fontani, Marco and Iuliani, Massimo and Al Shaya, Omar and Piva, Alessandro}, journal={EURASIP Journal on Information Security}, volume={2017}, number={1}, pages={1--16}, year={2017}, doi={https://doi.org/10.1186/s13635-017-0067-2}, publisher={SpringerOpen} }