Marine Surveillance Object Detection Dataset and Pre-Trained Model by Intelligent Monitoring System for Marine Surveillance

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Explore Dataset

Here are a few use cases for this project:

Port Security: The "Marine Surveillance" model can be employed in ports to identify incoming and outgoing marine vessels. Its accurate monitoring and tracking of different types of marine vessels (speed-boats, boats, sail-boats, war-ships, etc.) can enhance marine security operations and provide valuable analytics.
Maritime Traffic Monitoring: The computer vision system could be used to observe and manage maritime traffic patterns efficiently. The model can monitor the flow of different types of marine vessels, can help in avoiding collisions, and ensure smoother navigation.
Search and Rescue Operations: During mishaps, such as marine accidents, the model could be utilized to identify the types of vessels involved, their sizes, and ascertain whether there any life-saving devices (like buoys) in the vicinity.
Military Surveillance: The model could be used by military or defense authorities for patrolling and surveillance of marine borders and restricted areas, assisting in identifying whether incoming vessels are friend or foe.
Environmental Research and Protection: The model could help environmental researchers by identifying vessels that may pose a threat to marine life, such as illegal or excessive fishing vessels, or identifying marine debris that could potentially harm aquatic life.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            marine-surveillance_dataset,
                            title = { Marine Surveillance Dataset },
                            type = { Open Source Dataset },
                            author = { Intelligent Monitoring System for Marine Surveillance },
                            howpublished = { \url{ https://universe.roboflow.com/intelligent-monitoring-system-for-marine-surveillance/marine-surveillance } },
                            url = { https://universe.roboflow.com/intelligent-monitoring-system-for-marine-surveillance/marine-surveillance },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-04-29 },
                            }