PoLaRIS Dataset: A Pohang Canal Object Detection and Tracking Dataset in Maritime Environments
Jiwon Choi*, Dongjin Cho*, Gihyeon Lee, Hogyun Kim, Geonmo Yang, Joowan Kim, and Younggun Cho
(*) represents equally contribution
Abstract
Maritime environments often present hazardous situations due to factors such as moving ships or buoys, which become obstacles under the influence of waves. In such challenging conditions, the ability to detect and track potentially hazardous objects is critical for the safe navigation of marine robots. To address the scarcity of comprehensive datasets capturing these dynamic scenarios, we introduce a new multimodal dataset that includes image and point-wise annotations of maritime hazards.
Our dataset provides detailed ground truth for obstacle detection and tracking, including objects as small as 10×10 pixels, which are crucial for maritime safety. To validate the dataset’s effectiveness as a reliable benchmark, we conducted evaluations using various methodologies, including state-of-the-art (SOTA) techniques for object detection and tracking. These evaluations are expected to contribute to performance improvements, particularly in the complex maritime environment.
To the best of our knowledge, this is the first dataset offering multi-modal annotations specifically tailored to maritime environments.
Video
News
2024.09.15 We have uploaded multi-modal annotation data for the sequence 00, 01!
(After a review process, we provide all sequence annotations.)
2024.09.15 Submitted to IEEE Conference!
Contact
Jiwon Choi (jiwon2@inha.edu)
Dongjin Cho (d22g66@inha.edu)
Gihyeon Lee (leekh951@inha.edu)
Hogyun Kim (hg.kim@inha.edu)
Geonmo Yang (ygm7422@inha.edu)
Joowan Kim (joowani.kim@samsung.com)
Younggun Cho (yg.cho@inha.ac.kr)
Acknowledgement
We appreciate Prof. Jinhwan Kim's MORIN group, particularly Dongha Chung, for publishing the Pohang Canal Dataset.
BibTex
@article{choi2024polaris,
title={PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal},
author={Choi, Jiwon and Cho, Dongjin and Lee, Gihyeon and Kim, Hogyun and Yang, Geonmo and Kim, Joowan and Cho, Younggun},
journal={arXiv preprint arXiv:2412.06192},
year={2024}
}