Alarma Parada Computer Vision Project
Here are a few use cases for this project:
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Illegal Parking Monitoring System: The model can be employed by municipal authorities to automatically detect illegally parked vehicles in real-time and alert law enforcement.
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Smart City Implementation: This model can be used as a part of the smart city solution. It can help monitor the vehicle traffic, parking rules, and contribute towards efficient urban planning.
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Assistive Tools for Traffic Management: Traffic control centers can use this model to monitor traffic, identify illegal parking issues, and take corrective actions that can help in reducing congestion and improving traffic flow.
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Automated Parking Systems: Parking lots and garages can use this model to automatically spot illegal parking or to ensure vehicles are parked properly within their designated spaces.
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Real Estate Perspective: This model can help property managers and real estate professionals to enforce parking rules or to assess the parking situation for potential tenants or buyers.
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
YOLOv8
This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
alarma-parada_dataset,
title = { Alarma Parada Dataset },
type = { Open Source Dataset },
author = { Grim },
howpublished = { \url{ https://universe.roboflow.com/grim/alarma-parada } },
url = { https://universe.roboflow.com/grim/alarma-parada },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-05-29 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Alarma Parada project in your project.
