Persons-cars Computer Vision Project
Updated a year ago
Here are a few use cases for this project:
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Traffic Surveillance and Management: The "Persons-cars" model can be used in CCTVs and traffic cameras for real-time monitoring of the streets. It can identify vehicles and pedestrians and provide valuable information for traffic control and management, including tracking traffic flow and capturing unusual situations.
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Autonomous Vehicle Navigation: This model can be instrumental for self-driving cars. It can continuously detect and identify people and vehicles around them. This information can be used to make real-time decisions like when to swerve, stop or continue, optimizing for both efficiency and safety.
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Smart Parking Applications: The model can be applied to smart parking solutions, recognizing vacant spaces in a parking lot as well as detecting pedestrians crossing the area and other vehicles in the vicinity for safe parking operations.
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Pedestrian Safety Applications: This model can be used in pedestrian safety systems to detect vehicles and pedestrians, alerting drivers of potential collision threats during both day and night, reducing accidents.
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Urban Planning and Infrastructure Development: Researchers and urban planners can use the model to understand traffic patterns, pedestrian movement, and usage of transportation infrastructure. This can inform the development of future roadways, pedestrian walkways, traffic signals, and public transportation systems.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
persons-cars_dataset,
title = { Persons-cars Dataset },
type = { Open Source Dataset },
author = { kk1 },
howpublished = { \url{ https://universe.roboflow.com/kk1-vi61c/persons-cars } },
url = { https://universe.roboflow.com/kk1-vi61c/persons-cars },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jul },
note = { visited on 2024-12-11 },
}