Public Dataset of Parking Lot Videos for Computational Vision Applied to Surveillance

In this work, we propose a new dataset, the UFPArk, which consists of a selection of video clips based on a surveillance camera’s footage throughout a day. The aforementioned dataset is relevant to areas such as computer vision-based object detection, human behavior detection and Internet of Things (IoT) applications, which gained momentum with recent Deep Learning (DL) breakthroughs. To validate our dataset, we conduct some experiments that illustrate the relevance of this effort and its applicability in academic and commercial environments.