SeePerSea: Multi-modal Perception Dataset of In-water Objects for Autonomous Surface Vehicles
Welcome to the SeePerSea Dataset from the Dartmouth Reality and Robotics Lab!
Copyright
All datasets and benchmarks on this page are copyright by us.
Citation
When using this dataset in your research, please cite the following.
@article{jeong2024multi,
title={Multi-modal Perception Dataset of In-water Objects for Autonomous Surface Vehicles},
author={Jeong, Mingi and Chadda, Arihant and Ren, Ziang and Zhao, Luyang and Liu, Haowen and Roznere,
Monika and Zhang, Aiwei and Jiang, Yitao and Achong, Sabriel and Lensgraf, Samuel
and Alberto Quattrini Li},
journal={arXiv preprint arXiv:2404.18411},
year={2024}
}
Changelog
- 2024.12.07
- The SeePerSea dataset goes online.
Privacy
This dataset was collected in public spaces and is for non-commercial use only. We take privacy very seriously and we implemented strategies to remove any identification. However, if you find yourself or personal belongings in this dataset and feel not comfortable about it, please contact us and we will take immediate resolution steps.
The configuration of the sensor suite in the SeePerSea dataset
Catabot 2 ASV.
Human-driven ship equipped with sensors.
Catabot 1 ASV.
Catabot 5 ASV.
The locations of the dataset
Sea - Barbados 1.
Lake - Mascoma 1.
Lake - Sunapee 1.
Sea - Busan.
Sea - Barbados 2.
Lake - Mascoma 2.
Lake - Sunapee 2.
Data format
To view a sample of the dataset, please visit our GitHub repo.
Download
Thank you for your interest! To download the dataset, please fill out the following Google form.