# Camera Model Identification Using Convolutional Neural Networks

arXiv: https://arxiv.org/abs/1810.02981 · HTML: https://mlsanity.com/paper/1810.02981/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Oct 2018.

## Built on by (most cited first, 1 of 1)

- [Identification of Social-Media Platform of Videos through the Use of Shared Features](https://mlsanity.com/paper/2109.03598/) (2021)

## Abstract (arXiv)

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.