Annotating buoys Object Detection Dataset and Pre-Trained Model by Cornell AutoBoat

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Explore Dataset

Here are a few use cases for this project:

Nautical Navigation Assistance: This model can be used by sailors, boat operators, and other maritime professionals to assist in identifying the types of buoys in their path, helping with navigation and interpreting maritime rules.
Autonomous Boat Navigation: For boats operated autonomously, the model can help in real-time navigation by identifying and interpreting different buoy classes to follow the correct route and prevent potential sea accidents.
Marine Research: Marine scientists and researchers could use the model to automatically identify and log different types of buoys, facilitating analysis for research purposes.
Coast Guard and Marine Rescue Operations: By identifying buoys and their types, coast guards can utilize this model to improve their search and rescue operations as these buoys often denote specific regions of the sea.
Tourism Industry: Tour operators, especially those conducting sea or lake tours, may use this model to enhance their guided tours by providing information on different types of buoys their consumers may see during the trip.

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{
                            annotating-buoys_dataset,
                            title = { Annotating buoys Dataset },
                            type = { Open Source Dataset },
                            author = { Cornell AutoBoat },
                            howpublished = { \url{ https://universe.roboflow.com/cornell-autoboat-fz9yv/annotating-buoys } },
                            url = { https://universe.roboflow.com/cornell-autoboat-fz9yv/annotating-buoys },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-05-04 },
                            }