jalan lubang jalan retak Computer Vision Project
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Here are a few use cases for this project:
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Infrastructure Inspection and Maintenance: The "raden_project_colab_1" could be used by infrastructure organizations or government bodies to monitor the condition of roads and identify areas needing repairs such as potholes ('lubang') or cracked roads ('jalan retak').
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Traffic Flow Optimization: In traffic management systems, the model could help detect road damage, enabling authorities to take swift action, thereby ensuring uninterrupted traffic flow and reducing road accidents.
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Autonomous Vehicles: The model could be integrated into the systems of autonomous vehicles, helping them to detect road anomalies - a critical factor in safe navigation.
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Mapping Services: Online mapping and navigation service providers could use this model to update map information with road damage details, providing more accurate and real-time data to users.
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Urban Planning: Architects and urban planners could leverage this model to gather data on existing road conditions, assisting in improved planning of new infrastructure or refurbishments.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
jalan-lubang-jalan-retak_dataset,
title = { jalan lubang jalan retak Dataset },
type = { Open Source Dataset },
author = { Dataset lubang },
howpublished = { \url{ https://universe.roboflow.com/dataset-lubang/jalan-lubang-jalan-retak } },
url = { https://universe.roboflow.com/dataset-lubang/jalan-lubang-jalan-retak },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-09-24 },
}