Label เอ๊ะ Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Traffic Management Systems: The "Label เอ๊ะ" model could be employed in smart traffic management systems. It would assist in identifying and categorizing the types of vehicles on roads, aiding in better traffic routing and congestion management based on vehicle classes.
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Parking Lot Management: The model could be used to monitor and manage parking lots, spotting available spaces and optimizing usage based on vehicle size.
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Automotive Research: Researchers who focus on urban planning and public transportation might use the "Label เอ๊ะ" model to analyze the number and types of vehicles used in different regions or at different times of the day.
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Security Surveillance: The model could be deployed in CCTV systems to recognize and document different types of vehicles passing through monitored areas, enhancing operational security.
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Autonomous Vehicles Training: The "Label เอ๊ะ" model can be used in training datasets for autonomous vehicles, helping them to understand the differences between vehicle types and adapt their driving behavior accordingly.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
label-etthp_dataset,
title = { Label เอ๊ะ Dataset },
type = { Open Source Dataset },
author = { Traffic },
howpublished = { \url{ https://universe.roboflow.com/traffic/label-etthp } },
url = { https://universe.roboflow.com/traffic/label-etthp },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jan },
note = { visited on 2024-12-22 },
}