Awesome Maritime Visual Dataset

USV Dataset

[USVTrack] USVTrack: USV-based 4D radar-camera tracking dataset for autonomous driving in inland waterways

• Publication: IEEE/RSJ International Conference on Intelligent Robots and Systems
• Paper: https://arxiv.org/abs/2506.18737
• Data: https://github.com/USVTrack/USVTrack?tab=readme-ov-file
• Year: 2025

[PoLaRIS] PoLaRIS:A Pohang Canal Object Detection and Tracking Dataset in Maritime Environments

• Publication: IEEE ICRA
• Paper: https://arxiv.org/abs/2412.06192
• Data: https://github.com/sparolab/PoLaRIS
• Year: 2025

[MVDD13] Marine vessel detection dataset and benchmark for unmanned surface vehicles

• Publication: Applied Ocean Research
• Paper: https://doi.org/10.1016/j.apor.2023.103835
• Data: https://github.com/yyuanwang1010/MVDD13
• Year: 2024

[WaterScences] WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmarks for Autonomous Driving on Water Surfaces

• Publication: IEEE Transactions on Intelligent Transportation Systems
• Paper: https://doi.org/10.1109/TITS.2024.3415772
• Data: https://github.com/WaterScenes/WaterScenes
• Year: 2024

[LaRS] LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark

• Publication: ICCV 2023
• Paper: https://arxiv.org/pdf/2308.09618
• Data: https://lojzezust.github.io/lars-dataset
• Year: 2023

[Pohang] Pohang canal dataset: A multimodal maritime dataset for autonomous navigation in restricted waters

• Publication: International Journal of Robotics Research
• Paper: https://doi.org/10.1177/02783649231191145
• Data: https://sites.google.com/view/pohang-canal-dataset/download
• Year: 2023

[SMD-Plus] Object Detection and Classification Based on YOLO-V5 with Improved Maritime Dataset

• Publication: Journal of Marine Science and Engineering
• Paper: https://www.mdpi.com/2077-1312/10/3/377
• Data: https://github.com/kjunhwa/SMD-Plus
• Year: 2022

[MID] Efficient obstacle detection based on prior estimation network and spatially constrained mixture model for unmanned surface vehicles

• Publication: Journal of Field Robotics
• Paper: https://doi.org/10.1002/rob.21983
• Data: https://pan.baidu.com/s/1bXU0dO6eYwcdG36f0zC5BA , Password：f276
• Year: 2021

[MODS] MODS—A USV-Oriented Object Detection and Obstacle Segmentation Benchmark

• Publication: IEEE Transactions on Intelligent Transportation Systems
• Paper: https://ieeexplore.ieee.org/document/9605202
• Data: https://vision.fe.uni-lj.si/public/mods/
• Year: 2021

[MaSTr1325] The MaSTr1325 dataset for training deep USV obstacle detection models

• Publication: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
• Paper: https://ieeexplore.ieee.org/abstract/document/8967909
• Data: https://vicos.si/resources/mastr1325/
• Year: 2019

[SMD] Video Processing from Electro-optical Sensors for Object Detection and Tracking in Maritime Environment: A Survey

• Publication: IEEE Transactions on Intelligent Transportation Systems
• Paper: https://doi.org/10.1109/TITS.2016.2634580
• Data: https://sites.google.com/site/dilipprasad/home/singapore-maritime-dataset
• Year: 2017

[MarDCT] ARGOS-Venice Boat Classification

• Publication: 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
• Paper: https://doi.org/10.1109/AVSS.2015.7301727
• Data: https://labrococo.diag.uniroma1.it/MAR/
• Year: 2015

[MODD] Fast image-based obstacle detection from unmanned surface vehicles

• Publication: IEEE Transactions on Cybernetics
• Paper: https://ieeexplore.ieee.org/document/7073635
• Data: https://vicos.si/resources/modd/
• Year: 2015

UAV Dataset

[SynBASe] On the use of synthetic data for body detection in maritime search and rescue operations

• Publication: Engineering Applications of Artificial Intelligence
• Paper: https://www.sciencedirect.com/science/article/pii/S0952197624017445
• Data: https://www.dlsi.ua.es/~jgallego/datasets/synbase/
• Year: 2025

[ShipDataset] Multiship Speed Measurement Method Based on Machine Vision and Drone Images

• Publication: IEEE Transactions on Instrumentation and Measurement
• Paper: https://ieeexplore.ieee.org/document/10115015
• Data: https://github.com/NZII/ShipDataset
• Year: 2023

[VHRShips] VHRShips: An extensive benchmark dataset for scalable deep learning-based ship detection applications

• Publication: International Journal of Geo-Information
• Paper: https://doi.org/10.3390/ijgi11080445
• Data: https://github.com/radres333/VHRShips
• Year: 2022

[MOBDrone] MOBDrone: A drone video dataset for man OverBoard rescue

• Publication: International Conference on Image Analysis and Processing
• Paper: https://link.springer.com/chapter/10.1007/978-3-031-06430-2_53
• Data: https://aimh.isti.cnr.it/dataset/MOBDrone/
• Year: 2022

[DGTA-SeaDronesSee] Leveraging synthetic data in object detection on unmanned aerial vehicles

• Publication: International Conference on Pattern Recognition
• Paper: https://ieeexplore.ieee.org/document/9956710
• Data: https://github.com/David0tt/DeepGTAV
• Year: 2022

[SeaDronesSee] Seadronessee: A maritime benchmark for detecting humans in open water

• Publication: Winter Conference on Applications of Computer Vision
• Paper: https://openaccess.thecvf.com/content/WACV2022/html/Varga_SeaDronesSee_A_Maritime_Benchmark_for_Detecting_Humans_in_Open_Water_WACV_2022_paper.html?ref=https://githubhelp.com
• Data: https://github.com/Ben93kie/SeaDronesSee
• Year: 2022

[AFO] An ensemble deep learning method with optimized weights for drone-based water rescue and surveillance

• Publication: Integrated Computer-Aided Engineering
• Paper: https://journals.sagepub.com/doi/10.3233/ICA-210649
• Data: https://www.kaggle.com/datasets/jangsienicajzkowy/afo-aerial-dataset-of-floating-objects/data?select=PART_2
• Year: 2021

[Victims on Ocean] Airsim: Search and rescue SAR at sea with UAV integrated artificial intelligence

• Publication: International Conference on Communications and Electronics
• Paper: https://ieeexplore.ieee.org/abstract/document/9352109
• Data: https://github.com/winter2897/Search-and-Rescue-SAR-at-sea-with-UAV/tree/master?tab=readme-ov-file
• Year: 2021

[TinyPerson] Scale match for tiny person detection

• Publication: Winter Conference on Applications of Computer Vision
• Paper: https://openaccess.thecvf.com/content_WACV_2020/html/Yu_Scale_Match_for_Tiny_Person_Detection_WACV_2020_paper.html
• Data: https://github.com/ucas-vg/PointTinyBenchmark
• Year: 2020

[Seagull] A Data Set for Airborne Maritime Surveillance Environments

• Publication: IEEE Transactions on Circuits and Systems for Video Technology
• Paper: https://ieeexplore.ieee.org/document/8115215
• Data: https://vislab.isr.tecnico.ulisboa.pt/seagull-dataset/
• Year: 2017

Shore Dataset

[FVessel] Asynchronous trajectory matching-based multimodal maritime data fusion for vessel traffic surveillance in inland waterways

• Publication: IEEE Transactions on Intelligent Transportation Systems
• Paper: https://ieeexplore.ieee.org/abstract/document/10159572
• Data: https://github.com/gy65896/FVessel
• Year: 2023

[ABOShips] Aboships—an inshore and offshore maritime vessel detection dataset with precise annotations

• Publication: Remote Sense
• Paper: https://arxiv.org/abs/2102.05869
• Data: https://zenodo.org/records/4736931
• Year: 2021

[SeaShips] Seaships: A large-scale precisely annotated dataset for ship detection

• Publication: IEEE Transactions on Multimedia
• Paper: https://ieeexplore.ieee.org/abstract/document/8438999
• Data: https://github.com/jiaming-wang/SeaShips
• Year: 2018

Satellite Dataset

[VHRShips] VHRShips: An extensive benchmark dataset for scalable deep learning-based ship detection applications

• Publication: International Journal of Geo-Information
• Paper: https://www.mdpi.com/2220-9964/11/8/445
• Data: https://github.com/radres333/VHRShips
• Year: 2022

[SSDD] SAR ship detection dataset (SSDD): Official release and comprehensive data analysis

• Publication: Remote Sensing
• Paper: https://www.mdpi.com/2072-4292/13/18/3690
• Data: https://github.com/TianwenZhang0825/Official-SSDD
• Year: 2021

[SRSDD] SRSDD-v1. 0: A high-resolution SAR rotation ship detection dataset

• Publication: Remote Sensing
• Paper: https://www.mdpi.com/2072-4292/13/24/5104
• Data: https://github.com/HeuristicLU/SRSDD-V1.0
• Year: 2021

[S2-SHIPS] Ship Detection in Sentinel 2 Multi-Spectral Images with Self-Supervised Learning

• Publication: Remote Sensing
• Paper: https://www.mdpi.com/2072-4292/13/21/4255
• Data: https://drive.google.com/file/d/1zDgz6wr5kxikPR7o9nJ2IjMcaqwtiLLu/view
• Year: 2021

[ShipRSImageNet] ShipRSImageNet: A Large-Scale Fine-Grained Dataset for Ship Detection in High-Resolution Optical Remote Sensing Images

• Publication: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Paper: https://ieeexplore.ieee.org/document/9512396
• Data: https://drive.google.com/file/d/1wApkaSoa9mXRfXQiq6lTtlVrv4cSc6vv/view
• Year: 2021

[FGSCR-42] A Public Dataset for Fine-Grained Ship Classification in Optical Remote Sensing Images

• Publication: Remote Sensing
• Paper: https://www.mdpi.com/2072-4292/13/4/747
• Data: https://pan.baidu.com/s/1eXplDfB5fCBPm7WMcFKZkg ,Password：9xx8
• Year: 2021

[DOSR] Fine-Grained Recognition for Oriented Ship Against Complex Scenes in Optical Remote Sensing Images

• Publication: IEEE Transactions on Geoscience and Remote Sensing
• Paper: https://doi.org/10.1109/TGRS.2021.3123666
• Data: https://github.com/yaqihan-9898/DOSR
• Year: 2021

[HRSID] HRSID: A high-resolution SAR images dataset for ship detection and instance segmentation

• Publication: IEEE Access
• Paper: https://github.com/chaozhong2010/HRSID
• Data: https://www.kaggle.com/datasets/guofeng/hrsc2016
• Year: 2020

[MASATI-v2] Automatic Ship Classification from Optical Aerial Images with Convolutional Neural Networks

• Publication: Remote Sensing
• Paper: https://www.mdpi.com/2072-4292/10/4/511
• Data: https://www.iuii.ua.es/datasets/masati/
• Year: 2018

[HRSC2016] Mssdet: Multi-scale ship-detection framework in optical remote-sensing images and new benchmark

• Publication: Remote Sensing
• Paper: https://www.mdpi.com/2072-4292/14/21/5460
• Data: https://www.kaggle.com/datasets/guofeng/hrsc2016
• Year: 2016

Comprehensive Dataset

[MID] MID: A Comprehensive Shore-Based Dataset for Multi-Scale Dense Ship Occlusion and Interaction Scenarios

• Publication: arXiv
• Paper: https://arxiv.org/abs/2412.05871
• Data: https://github.com/aluckyi/MID
• Year: 2024

[WSODD] An image-based benchmark dataset and a novel object detector for water surface object detection

• Publication: Frontiers in Neurorobotics
• Paper: https://www.frontiersin.org/journals/neurorobotics/articles/10.3389/fnbot.2021.723336/full
• Data: https://github.com/sunjiaen/WSODD
• Year: 2021

[McShips] Mcships: A large-scale ship dataset for detection and fine-grained categorization in the wild

• Publication: International Conference on Multimedia and Expo
• Paper: https://ieeexplore.ieee.org/abstract/document/9102907
• Data: https://github.com/ZhengYitong2333/Mcships
• Year: 2020

[SMD] Video processing from electro-optical sensors for object detection and tracking in a maritime environment: A survey

• Publication: IEEE Transactions on Intelligent Transportation Systems
• Paper: https://ieeexplore.ieee.org/abstract/document/7812788
• Data: https://sites.google.com/site/dilipprasad/home/singapore-maritime-dataset
• Year: 2019