mast-hand-ann-dataset Computer Vision Project
Updated 3 years ago
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downloadHere are a few use cases for this project:
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Structural Analysis and Maintenance: Engineers could employ this model in reviewing the structural integrity of masts. The model can be used in tandem with drones or robotic devices to scan and identify potential areas of wear and tear or structural defects in masts.
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Urban Planning: This model can be used to identify and map the location of masts in a city or region to enhance the accuracy of urban planning and development projects.
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Telecommunication Industry: This model can be beneficial in detecting masts for cell services to improve network coverage or troubleshoot in areas with weak signal strength.
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Disaster Management: In situations of natural disasters, this model could assist the authorities to check the condition of masts for potential risks or damages, aiding in executing preventive measures.
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Navigation and Mapping Services: This model would be useful in sophisticated navigation systems (e.g., Google Maps, Apple Maps, etc.) to indicate the presence of significant landmarks like masts for more accurate mapping.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
mast-hand-ann-dataset_dataset,
title = { mast-hand-ann-dataset Dataset },
type = { Open Source Dataset },
author = { ML AeRoVe },
howpublished = { \url{ https://universe.roboflow.com/ml-aerove/mast-hand-ann-dataset } },
url = { https://universe.roboflow.com/ml-aerove/mast-hand-ann-dataset },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jan },
note = { visited on 2024-11-25 },
}