jalan lubang jalan retak Object Detection Dataset and Pre-Trained Model by Dataset lubang

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Explore Dataset

Here are a few use cases for this project:

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').
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.
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.
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.
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.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

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 2023-11-29 },
}