buoy Computer Vision Project
Updated a year ago
Metrics
Here are a few use cases for this project:
-
Maritime Safety and Navigation: The "buoy" computer vision model can be used in navigational applications to help sailors, boaters, and maritime authorities identify different types of buoys to ensure safe passage, follow shipping lanes, and avoid hazards in waterways.
-
Autonomous Surface Vehicles (ASVs) and Drones: Integrating the "buoy" model into the guidance systems of autonomous surface vehicles and drones could help these devices navigate waterways more accurately by detecting and classifying buoys, allowing them to make informed decisions based on the purpose of each buoy.
-
Environmental Monitoring and Research: Researchers studying marine ecosystems could use the "buoy" model to identify particular buoys that are equipped with sensors for tracking water quality, currents, and meteorological conditions. This would facilitate locating and analyzing the data collected from these buoys.
-
Buoy Maintenance and Inspection: Coastguard and maintenance organizations can leverage the "buoy" model to efficiently identify and track buoys requiring maintenance or replacement, such as damaged or malfunctioning navigation aids, ensuring better overall management of buoy systems.
-
Watersports and Sporting Events: Event organizers and participants in watersports like kayaking, sailing, or rowing races can use the "buoy" model to accurately identify race markers, turning points, and other event-relevant buoys. The model can help plan and follow courses, ensuring competitors adhere to race rules and improving safety during the event.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
buoy-op5wz_dataset,
title = { buoy Dataset },
type = { Open Source Dataset },
author = { SailBot },
howpublished = { \url{ https://universe.roboflow.com/sailbot-5c9lp/buoy-op5wz } },
url = { https://universe.roboflow.com/sailbot-5c9lp/buoy-op5wz },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { dec },
note = { visited on 2024-11-21 },
}