POLE-Comptetition-HK Object Detection Dataset and Pre-Trained Model by PURobocon

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Explore Dataset

Here are a few use cases for this project:

Sports Equipment Identification: This model could be applied to categorize and identify different types of pole sports equipment, including the associated tools such as pole disks, at a competition. It could support staff in managing inventory and ensuring the readiness of all necessary equipment.
Virtual Refereeing Assistance: The model can be applied in scoring pole competitions, making it possible to automatically identify when a competitor uses the correct equipment during a performance. It would aid human judges in making accurate decisions.
Building Security Systems: With the ability to detect pole structures, it can be applied in monitoring commercial spaces like warehouses or industrial areas, identifying unauthorized alterations or threats to stability.
Architectural Design and Planning: This model could assist architects in detecting and classifying different pillar structures in pre-existing buildings or digital plans.
Augmented Reality Games: This model can be incorporated into AR game development where identifying real-world objects such as poles and pole disks becomes part of the gameplay.

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{
                            pole-comptetition-hk_dataset,
                            title = { POLE-Comptetition-HK Dataset },
                            type = { Open Source Dataset },
                            author = { PURobocon },
                            howpublished = { \url{ https://universe.roboflow.com/purobocon/pole-comptetition-hk } },
                            url = { https://universe.roboflow.com/purobocon/pole-comptetition-hk },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-06-26 },
                            }