ShipMap Object Detection Dataset and Pre-Trained Model by Zainub Haider

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Explore Dataset

Here are a few use cases for this project:

Maritime Surveillance and Security: ShipMap can be employed by coast guards and port authorities to monitor and manage the traffic of various ship classes in harbors, territorial waters, and sea lanes, enhancing safety and efficiency while reducing the risk of accidents or unauthorized activities.
Environmental Conservation: ShipMap's ability to identify diverse ship classes can contribute to monitoring compliance with environmental regulations for vessel emissions, waste disposal, and proximity to protected ecosystems, potentially minimizing the negative impact of maritime activities on the environment.
Search and Rescue Operations: Emergency response teams can utilize ShipMap to quickly identify and locate specific ships in distress, helping rescue efforts run more smoothly by providing accurate information about the type of vessel involved and optimizing deployment of appropriate resources.
Fishing Industry Management: ShipMap can assist regulators and marine conservation organizations in identifying and tracking fishing vessels, particularly those using illegal or unsustainable practices, facilitating more effective fisheries management and promoting sustainable seafood supply chains.
Recreational and Competitive Sailing: ShipMap can be employed by sailing associations and yacht clubs to monitor and analyze sailboat and recreational vessel activities during races, regattas, or regular sailing events, helping to improve safety measures, coordinate logistics, and enhance the overall experience for participants.

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.

Cite This Project

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

@misc{
                            shipmap_dataset,
                            title = { ShipMap Dataset },
                            type = { Open Source Dataset },
                            author = { Zainub Haider },
                            howpublished = { \url{ https://universe.roboflow.com/zainub-haider-hj7eg/shipmap } },
                            url = { https://universe.roboflow.com/zainub-haider-hj7eg/shipmap },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-04-20 },
                            }