DATANEWBRIGDE Computer Vision Project
Updated 9 months ago
Here are a few use cases for this project:
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Traffic Surveillance: Utilizing the "newclasss" model to identify different types of vehicles captured by CCTV cameras on highways or traffic intersections. This could aid in traffic flow management, identification of traffic patterns or aiding in law enforcement efforts such as vehicle recognition during investigations.
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Autonomous Vehicles: Implementation of the model in autonomous driving systems to effectively categorize different types of vehicles on the road, leading to improved navigation, risk calculation, and decision-making capabilities in diversified traffic conditions.
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Parking Lot Management: The model could be used to manage and automate a parking system by identifying the vehicle type and thereby managing the parking space allocation. For example, a full-sized truck would require more space than a car.
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Road Infrastructure Planning: Government or urban planning agencies could use the system to analyze the frequency of each type of vehicle on a particular highway, aiding in designing and planning future roadways and infrastructure.
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Road Safety Study: The model can be used in road safety studies, to identify the correlation between types of vehicles and their roles in accidents or collisions. This can inspire vehicle-specific safety measures for highways.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
datanewbrigde_dataset,
title = { DATANEWBRIGDE Dataset },
type = { Open Source Dataset },
author = { Connected Wise },
howpublished = { \url{ https://universe.roboflow.com/connected-wise/datanewbrigde } },
url = { https://universe.roboflow.com/connected-wise/datanewbrigde },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { feb },
note = { visited on 2024-11-21 },
}