| Summary: | Over the past few years, the imaging device has changed from digital cameras to smartphone cameras. With the popularity of mobile Internet applications, there explode massive digital images and videos captured by such smartphones, which are nearly held one per person. Consequently, the capturing source of images/videos delivers valuable identity information for criminal investigations and critical forensic evidence. It is significant to address the source identification of smartphone images/videos. In this paper, we build a Daxing smartphone identification dataset, which collects images and videos from extensive smartphones of different brands, models and devices. Specifically, the dataset includes 43 400 images and 1,400 videos captured by 90 smartphones of 22 models belonging to 5 brands. For example, there are 23 smartphone devices for the iPhone 6S (Plus) model. To the best of our knowledge, Daxing dataset uses the largest amount of smartphones for image/video source identification compared with other related datasets, as well as the highest numbers of devices per model and captured images/videos. The dataset has been released as a free and open-source for scientific researchers and criminal investigators.
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