Tugas Akhir Computer Vision Project
Updated a year ago
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Metrics
Here are a few use cases for this project:
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Traffic Management Systems: The "Tugas Akhir" model can be integrated in traffic monitoring cameras to identify vehicle types in real time, enabling traffic controllers to develop better traffic control strategies based on different classes of vehicles on the road.
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Safe Driving Applications: The model can be used in dashcam software or autonomous driving systems to detect various types of vehicles, helping the system make better decisions to increase road safety, such as by gauging appropriate following distances.
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Vehicle-based Market Research: Companies or governments could use the model to analyze surveillance camera footage and gather data about local vehicle usage patterns, helping them understand the automobile market trends.
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Intelligent Parking Systems: The model can be applied in parking lots to recognize vehicle types, optimizing space usage by assigning suitable parking slots for different types of vehicles and enhancing operator efficiency.
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Law Enforcement and Security: The model can assist in the identification of specific vehicle types involved in criminal activities or traffic violations, improving the triage process in surveillance footage analysis.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
tugas-akhir-tobcw_dataset,
title = { Tugas Akhir Dataset },
type = { Open Source Dataset },
author = { WSAmet },
howpublished = { \url{ https://universe.roboflow.com/wsamet/tugas-akhir-tobcw } },
url = { https://universe.roboflow.com/wsamet/tugas-akhir-tobcw },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { dec },
note = { visited on 2024-11-21 },
}