A Data Set for Airborne Maritime Surveillance Environments

TLDR

The paper introduces a UAV‑captured maritime surveillance dataset comprising sea imagery. The dataset contains thousands of labeled images and video sequences of maritime objects captured by various cameras from multiple heights and angles, and the authors provide a labeling tool for annotation. Baseline evaluations show that the authors’ maritime‑adapted algorithms outperform standard methods.

Abstract

This paper presents a data set with surveillance imagery over the sea captured by a small size UAV. This data set presents the object examples ranging from cargo ships, small boats, life rafts to hydrocarbon slick. The video sequences were captured using different types of cameras, at different heights, and different perspectives. The data set also contains thousands of labels with positions of objects of interest. This was only possible to achieve with the labeling tool also described in this paper. Additionally, using standard evaluation frameworks, we establish a baseline of results using algorithms developed by the authors, which are better adapted to the maritime environment.