Person-Cobble Computer Vision Project
Updated a year ago
Here are a few use cases for this project:
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Urban Planning: The model can be used in designing and planning of urban spaces. Analyzing cobble patterns, understanding pedestrian traffic, and ensuring designs are fit both for the aesthetic of cobbling and the functionality of human movement.
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Historical Documentations: In historic cities with cobblestone streets, this model could help in documenting and archiving their existence and state. Identified persons could indicate usage of these streets.
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Social Studies: Analyzing public space usage and human behavior in specific areas - how does the presence of cobbles affect human movement or gathering points?
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Augmented Reality Applications: For developers creating tourism-focused AR applications, this model could help identify cobbled streets and people in real-time and provide relevant historical or cultural information.
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Surveillance and Security: The model can assist in detecting any unauthorized person or suspicious activities on cobblestone streets, enhancing the regions' security measures, especially in areas of cultural or historical significance.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
person-cobble_dataset,
title = { Person-Cobble Dataset },
type = { Open Source Dataset },
author = { OCST },
howpublished = { \url{ https://universe.roboflow.com/ocst/person-cobble } },
url = { https://universe.roboflow.com/ocst/person-cobble },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-11-22 },
}