Street Recognition Computer Vision Project
Here are a few use cases for this project:
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"Traffic Regulation Enforcement": The model could be used by city traffic enforcement agencies to automatically detect and monitor the flow of different road entities like cars, vans, cyclists, etc. It could help in managing traffic, planning road infrastructure, or even automate the fines generation for traffic violations.
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"Surveillance and Safety Systems": This model could be integrated into existing surveillance systems for improved public safety monitoring. For example, it could identify unusual behaviors, like a person sitting in a secluded area for a long time or a motorist moving in a pedestrian zone.
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"Urban Planning and Development": City planners and architects could leverage insights from this model to decide where to install bike lanes, sidewalks, parks, and other infrastructure, based on identified patterns of movement.
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"Autonomous Vehicle Navigation": The model could be implemented into autonomous vehicle technology. Recognizing different street movement classes, the vehicle can navigate safely and more efficiently.
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"Post-event Analysis": Following events like parades, protests, or accidents, the model could assist in piecing together the sequence of events in a matter of minutes, providing critical insights for stakeholders.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
street-recognition_dataset,
title = { Street Recognition Dataset },
type = { Open Source Dataset },
author = { Work },
howpublished = { \url{ https://universe.roboflow.com/work-1abtl/street-recognition } },
url = { https://universe.roboflow.com/work-1abtl/street-recognition },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-04-26 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Street Recognition project in your project.
