vehicle Computer Vision Project
Updated 3 months ago
Metrics
Here are a few use cases for this project:
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Traffic Management and Analysis: The "Venom" model can be used by city planners or traffic management authorities to analyze the flow of different types of vehicles on roads. This can help in the development of better transportation infrastructure, efficient traffic signals, and congestion-free roads.
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Fleet Management: Companies managing fleets of vehicles can use the "Venom" model to categorize their fleets based on vehicle size and type. This can help in efficient route planning, vehicle maintenance, and cost optimization.
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Parking Space Optimization: Parking lot owners can use the "Venom" model to identify available spaces that are appropriate for different types of vehicles, allowing for the optimal utilization of parking spaces.
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Accident Investigation and Reconstruction: Law enforcement agencies can use the "Venom" model to identify and classify vehicles involved in road accidents. This can help in better understanding and reconstructing accident scenes, as well as providing valuable input for legal and insurance purposes.
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Augmented Reality Navigation: Developers can integrate the "Venom" model into augmented reality navigation systems, providing drivers with real-time information about surrounding vehicles, including their size and type. This can help in enhancing driver awareness and improving road safety.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
vehicle-ywmkq_dataset,
title = { vehicle Dataset },
type = { Open Source Dataset },
author = { Skripsi },
howpublished = { \url{ https://universe.roboflow.com/skripsi-tcbcb/vehicle-ywmkq } },
url = { https://universe.roboflow.com/skripsi-tcbcb/vehicle-ywmkq },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { sep },
note = { visited on 2024-12-22 },
}