Source camera identification is the process of determining which camera or model has been used to capture an image. In the recent years, there has been a rapid growth of research interest in the domain of forensics. In the current work, we describe our Deep Learning approach to the camera detection task of 10 cameras as a part of the Camera Model Identification Challenge hosted by Kaggle.com where our team finished 2nd out of 582 teams with the accuracy on the unseen data of 98%. We used aggressive data augmentations that allowed a model to stay robust against transformations. A number of experiments are carried out on datasets collected by organizers and scraped from the web.
@article{arxiv.1810.02981,
title = {Camera Model Identification Using Convolutional Neural Networks},
author = {Artur Kuzin and Artur Fattakhov and Ilya Kibardin and Vladimir Iglovikov and Ruslan Dautov},
journal= {arXiv preprint arXiv:1810.02981},
year = {2018}
}