Postes_Dataset Object Detection Dataset and Pre-Trained Model by ufms

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Explore Dataset

Here are a few use cases for this project:

Infrastructure Inventory and Maintenance: City planners and utilities companies can use the model to inventory city posts and poles accurately, helping them plan for maintenance, upgrades, and inspections.
Augmented Reality Games/Applications: The model can be incorporated into AR games or applications to accurately represent and interact with real-world poles. For instance, AR games could incorporate these poles as game elements.
Advanced Navigation Systems: By integrating the model into navigation systems, it can help to provide more accurate and contextual directions. It may identify not just roads and routes but also objects such as poles and bases along the way.
Urban Planning and Development: The model could be used by urban developers to automatically detect and categorize different types of poles in a given area, aiding in planning for new constructions, ensuring distance safety regulations, and determining areas of potential improvement.
Surveillance and Security: Security companies may incorporate the model to detect changes or movements around these poles, or even to detect any unauthorized installations on the poles.

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{ postes_dataset_dataset,
    title = { Postes_Dataset Dataset },
    type = { Open Source Dataset },
    author = { ufms },
    howpublished = { \url{ https://universe.roboflow.com/ufms/postes_dataset } },
    url = { https://universe.roboflow.com/ufms/postes_dataset },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { oct },
    note = { visited on 2023-12-09 },
}