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CSAFE Multi-camera Smartphone Image Database

dataset

posted on 2024-09-25, 18:18 authored by Stephanie ReindersStephanie Reinders, Megan McGuire, Stacy Renfro, Danica Ommen, Alicia Carriquiry

The CSAFE Multicamera Smartphone Image Database is a digital image dataset designed for forensic science research. The dataset contains roughly 50,000 JPEG images from sixty multi-camera smartphones. This dataset is particularly useful for source camera identification experiments. By analyzing distinctive features (camera fingerprints) extracted from images, digital evidence examiners may be able to link an image to a specific camera.

Funding

This work was funded (or partially funded) by the Center for Statistics and Applications in Forensic Evidence (CSAFE) through Cooperative Agreements 70NANB15H176 and 70NANB20H019 between NIST and Iowa State University, which includes activities carried out at Carnegie Mellon University, Duke University, University of California Irvine, University of Virginia, West Virginia University, University of Pennsylvania, Swarthmore College and University of Nebraska, Lincoln.

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digital images forensics smartphones

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