3-treinamento(2treinamento+pe07) Computer Vision Project
Updated a year ago
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Here are a few use cases for this project:
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Infrastructure Monitoring and Maintenance: This model can be employed to automatically identify specific structure damage or deformations like cracks, wear and tear, etc., in buildings or other infrastructure. This would enable timely maintenance and reduce possible hazards.
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Railway Safety: The model can be used to identify isolated cracks, abrasions, fractures, and other defects in the rail tracks or trains. Early detection and repair of these issues can prevent derailments and other catastrophic failures.
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Road Quality Assessment: The model could be useful for municipalities or road construction companies who want to survey the condition of their roads. Specific issues like potholes, cracks, warping, etc., could be automatically identified to assist with maintenance planning.
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Construction Quality Control: The model can be used in the construction industry for quality assessments. By automatically identifying isolated cracks, breakages, or surface wear and tear, the model can help enforce strict quality standards.
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Bridge Safety Inspection: Highway departments could use this model for automated inspection of bridges. Identifying cracks, wear, or uneven surfaces could help prevent structural failures and improve public safety.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
3-treinamento-2treinamento-pe07_dataset,
title = { 3-treinamento(2treinamento+pe07) Dataset },
type = { Open Source Dataset },
author = { TPF },
howpublished = { \url{ https://universe.roboflow.com/tpf-ojgi9/3-treinamento-2treinamento-pe07 } },
url = { https://universe.roboflow.com/tpf-ojgi9/3-treinamento-2treinamento-pe07 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { oct },
note = { visited on 2024-12-22 },
}