Tarik-Tyane-annotations Computer Vision Project
Updated 3 years ago
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Here are a few use cases for this project:
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Smart Parking Assistance: Utilize the Tarik-Tyane-annotations model to develop an application that assists drivers in locating available parking spots, including valid and invalid spots like handicapped and fire hydrant zones, in real-time, making the parking experience more convenient and efficient.
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Traffic Management: Integrate the model into city traffic management systems to monitor and manage parking spaces in high traffic areas. By identifying improper parking, such as in fire hydrant zones, bus stops, or handicapped spots, authorities can enforce parking regulations proactively.
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Urban Planning and Analysis: Use the Tarik-Tyane-annotations model to analyze public parking data, identifying patterns and trends related to parking spots' utilization. This can help city planners make informed decisions on the allocation and distribution of parking spaces, optimizing infrastructure for future growth.
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Navigation App Integration: Enhance navigation applications like Google Maps or Waze with the model's parking spot information, allowing users to find not only available parking spaces nearby but also information on rules and restrictions in real-time, avoiding fines or inconveniences.
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Emergency Response: Equip emergency response vehicles, such as fire trucks and ambulances, with the Tarik-Tyane-annotations model to identify fire hydrant locations or restricted parking areas quickly. This can help emergency services to navigate congested areas and ensure unblocked access to critical infrastructure during emergencies.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
tarik-tyane-annotations_dataset,
title = { Tarik-Tyane-annotations Dataset },
type = { Open Source Dataset },
author = { ismailiadam1296@gmail.com },
howpublished = { \url{ https://universe.roboflow.com/ismailiadam1296-gmail-com/tarik-tyane-annotations } },
url = { https://universe.roboflow.com/ismailiadam1296-gmail-com/tarik-tyane-annotations },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2021 },
month = { nov },
note = { visited on 2024-11-22 },
}