Object Detection Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Traffic Surveillance Systems: This model could be used in traffic monitoring and enforcement cameras to identify different types of vehicles in real time, which would help in counting vehicles, managing traffic flows, and detecting traffic violations.
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Parking Management: The model can also be used in smart parking solutions to automatically detect and differentiate between various types of vehicles entering or vacating parking spots.
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Automotive Manufacturing Quality Control: Car manufacturers can integrate this model into their production lines to identify and verify specific vehicle model types or classes during different stages of production and quality assurance.
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Transportation Research: Researchers can use this model to study transportation patterns, understand the mix of vehicle types on specific routes, or investigate the effects of various types of transport on traffic situations or environmental impact.
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Augmented Reality Games & Applications: This object detection model can enrich the user experience in AR games or apps by identifying real-world vehicles, letting users interact with virtual vehicles (like picking customized skins for appearing cars).
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
object-detection-tvl0b_dataset,
title = { Object Detection Dataset },
type = { Open Source Dataset },
author = { Demigod },
howpublished = { \url{ https://universe.roboflow.com/demigod/object-detection-tvl0b } },
url = { https://universe.roboflow.com/demigod/object-detection-tvl0b },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { feb },
note = { visited on 2025-01-08 },
}