Enyerlin Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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Urban Traffic Analysis: The "Enyerlin" model could be used to analyze traffic patterns in urban areas by identifying different types of vehicles and pedestrians on the roads. The data obtained can be utilized for transportation planning and providing insights to local authorities for better traffic management.
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Surveillance and Security: "Enyerlin" can be used in security camera systems to detect and identify different classes of objects in real time. Any unusual activity, such as suspicious vehicle or pedestrian movement, can trigger alerts for security personnel to review or act upon.
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Autonomous Vehicles: This computer vision model can aid autonomous vehicles in recognizing different types of vehicles, cyclists, skateboarders and pedestrians on the road, contributing to improved safety and decision-making processes.
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Road Safety Analysis: "Enyerlin" could be used to monitor and record vehicle, bicycle, and pedestrian traffic to identify dangerous intersections or roads, providing data to enhance road safety measures and infrastructure.
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eCommerce Logistics: In the context of managing large fleets of vehicles, the model can be used to track and categorize different types of delivery vehicles in real time, contributing to better fleet management and operational efficiency.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
enyerlin_dataset,
title = { Enyerlin Dataset },
type = { Open Source Dataset },
author = { etiquetaEnyerlin },
howpublished = { \url{ https://universe.roboflow.com/etiquetaenyerlin/enyerlin } },
url = { https://universe.roboflow.com/etiquetaenyerlin/enyerlin },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { aug },
note = { visited on 2024-11-23 },
}