ObjDetectPrj Computer Vision Project
Updated a year ago
Metrics
Here are a few use cases for this project:
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Autonomous Vehicle Development: "ObjDetectPrj" could be used to identify different car classes on the road in real time, which could help improving the decision-making algorithms of self-driving cars to react accordingly to different types of vehicles.
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Traffic Management Systems: The model could be utilized within smart city solutions to analyze traffic flow, identify bottle-necks, and predict possible congestion points by differentiating between multiple car classes in real time.
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Market Research: Used in analysis of car trends in different geographical areas. By identifying the classes of cars being driven in different districts or regions, manufacturers and marketers could determine popular models, informing future development and advertising efforts.
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Parking Management: The model could be employed in automatic parking systems to ensure that different car classes are guided to suitably sized spaces, maximizing the efficiency of a parking lot.
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Insurance Analysis: Insurance companies could employ this model to identify the car classes involved in road incidents from CCTV or dashcam footage, helping in claims investigations and risk assessments.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
objdetectprj_dataset,
title = { ObjDetectPrj Dataset },
type = { Open Source Dataset },
author = { Djoko Widodo },
howpublished = { \url{ https://universe.roboflow.com/djoko-widodo-cl4ma/objdetectprj } },
url = { https://universe.roboflow.com/djoko-widodo-cl4ma/objdetectprj },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-11-22 },
}