Shore livecams: a maritime dataset for deep learning based object detection

DOI
URI
Conference
17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS 2023) ; Bangkok, Thailand ; November 8–10, 2023
Publisher
IEEE
Book title
2023 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
First page
138
Last page
144
Part of the university bibliography
✅
Language
English
Abstract
Datasets of maritime objects are very important for training applications related to activity monitoring in locations around ports and shores. This paper introduces a maritime dataset for object detection, named as the shore livecam dataset. The dataset is a collection of high definition (HD), full high definition (FHD), and ultra high definition (UHD) images captured from live video feeds recorded across various port based areas of Germany. These images contain multiple instances of objects which are primarily classified into three different classes and annotated accordingly. The widely varying object sizes contribute to the uniqueness of this dataset whose content is thoroughly analysed and described. Finally, a selection of deep learning models is used on this dataset for evaluation. The dataset is available at https://github.com/HSU-ANT/shore_livecams/
Version
Published version
Access right on openHSU
Metadata only access