vesselDetection Computer Vision Project
Updated 9 months ago
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Here are a few use cases for this project:
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Maritime Traffic Monitoring: The vesselDetection model can be used for real-time monitoring of maritime traffic in harbors, ports, and coastal areas, detecting different types and conditions of vessels to facilitate navigation and coordination for authorities.
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Search and Rescue Operations: The model can improve search and rescue efforts by identifying different classes of vessels in challenging conditions, such as blurry or foggy scenarios, helping authorities focus their resources on vessels in distress or those in need of assistance.
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Environmental Applications: By identifying commercial cargo and fishing vessels, the model can be used for monitoring and enforcing marine protected areas or observing fishing activities, helping to combat illegal fishing practices and promote sustainable fisheries management.
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Port and Harbor Management: vesselDetection can be integrated into port and harbor surveillance systems, improving the performance of activity identification, monitoring of loading and unloading activities, and ensuring appropriate docking of various vessel types.
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Coastal Security and Surveillance: The model can be used for detecting and tracking vessels involved in illegal activities or unauthorized entry into restricted coastal areas, assisting authorities in maintaining coastal security and ensuring the safety of maritime activities.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
vesseldetection-dhmgv_dataset,
title = { vesselDetection Dataset },
type = { Open Source Dataset },
author = { cuize },
howpublished = { \url{ https://universe.roboflow.com/cuize/vesseldetection-dhmgv } },
url = { https://universe.roboflow.com/cuize/vesseldetection-dhmgv },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { feb },
note = { visited on 2024-11-21 },
}