VeHiClE Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Traffic Surveillance: The "VeHiClE" model can be utilized in advanced traffic management systems to monitor and categorize the types of vehicles on roads, aiding in traffic analysis and congestion prevention.
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Automated Parking Systems: This model could be part of a solution for distinguishing different vehicles entering or exiting a parking lot, ensuring proper charge based on vehicle type and improving parking space management.
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Automotive Industry Quality Control: Use the model to identify and classify different types of vehicles on the assembly line, aiding in seamless production and quality control processes.
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Vehicle Tracking in Logistics: Shipping and logistics companies can utilize this model to track and categorize various vehicles in their service, aiding in routing and supply chain management.
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Advanced Driver Assistance Systems (ADAS): The model can be deployed within advanced vehicle systems to detect different types of surrounding vehicles, providing drivers with enhanced situational awareness and safety measures.
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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-aamxe_dataset,
title = { VeHiClE Dataset },
type = { Open Source Dataset },
author = { aishujustin },
howpublished = { \url{ https://universe.roboflow.com/aishujustin-n78s6/vehicle-aamxe } },
url = { https://universe.roboflow.com/aishujustin-n78s6/vehicle-aamxe },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2021 },
month = { nov },
note = { visited on 2024-11-21 },
}