Hole Classification Computer Vision Project
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Here are a few use cases for this project:
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Infrastructure Inspection: The model can be used by municipal authorities or construction companies to inspect buildings, roads, or bridges for any holes and classify them based on their cover status. This can help in prioritizing maintenance and repair work.
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Golf Course Management: The model can be used to identify and classify the status of holes on a golf course, ensuring that they are properly maintained and fit for play.
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Safety Assessment in Mining: The model could be utilized to classify the status of prospecting holes or drill-holes in mining fields. This can contribute to ensuring safety standards and identifying potential hazards.
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Archaeological Surveys: In archaeological work, this model can help to classify different uncovered, partially covered or fully covered holes that could indicate potential sites for further excavation or investigation.
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Environmental Studies: This model could be useful in classifying burrows or holes in natural environments, aiding in animal behavior studies and biodiversity surveys.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
hole-classification_dataset,
title = { Hole Classification Dataset },
type = { Open Source Dataset },
author = { University of Waterloo },
howpublished = { \url{ https://universe.roboflow.com/university-of-waterloo-qbtvb/hole-classification } },
url = { https://universe.roboflow.com/university-of-waterloo-qbtvb/hole-classification },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { feb },
note = { visited on 2024-12-23 },
}