objects-On-Street Computer Vision Project
Updated 7 months ago
Metrics
Here are a few use cases for this project:
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Smart Autonomous Vehicles: The model can be utilized by autonomous vehicles for real-time detection of street signs, cars, traffic lights, and pedestrians, which informs the vehicle's decisions and promotes road safety.
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Road Safety Monitoring Systems: Use in intelligent surveillance systems to monitor road user behavior, detecting any potential traffic violations or dangerous situations involving pedestrians, cars, or disregarded traffic signals.
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Street Maintenance and Planning: Local government agencies can use the model to identify the condition of street signs and understand traffic patterns in the city, aiding in efficient city planning and maintenance.
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Traffic Management System: It can be used to optimize the flow of traffic by adapting traffic light changes in real-time based on the detection of cars and pedestrians, thus reducing traffic congestion.
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Driver Assistance Apps: Incorporating this in driver-assist technology can help alert drivers about upcoming traffic lights, street signs, other vehicles, and pedestrians, improving driver awareness and hence safety.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
objects-on-street_dataset,
title = { objects-On-Street Dataset },
type = { Open Source Dataset },
author = { Poliba university },
howpublished = { \url{ https://universe.roboflow.com/poliba-university/objects-on-street } },
url = { https://universe.roboflow.com/poliba-university/objects-on-street },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { may },
note = { visited on 2025-01-09 },
}