helmet Object Detection Dataset and Pre-Trained Model by project-kfq2c

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Explore Dataset

Here are a few use cases for this project:

Sports Equipment Classification: Sports stores or manufacturers can use the "helmet" computer vision model to identify and classify different kinds of sports helmets in their inventory, enhancing efficiency and accuracy within their supply chain.
Road Safety Monitoring: Government agencies might implement this model to monitor motorbike and bicycle riders for helmet compliance in real-time, helping enforce safety regulations and reducing the risk of head injuries.
Construction Site Safety: This model can be utilized in construction or industrial areas to ensure that all workers are wearing their safety helmets, proactively identifying potential safety violations and preventing accidents.
Study in Helmet Design: Designers and helmet manufacturers can apply this model to study different helmet shapes or forms, aiding in the development of more effective and comfortable helmet designs.
Adventure Sports Documentaries/Football Game Analysis: The model can be deployed in the field of media and entertainment, where it can help analyse footage from adventure sports documentaries or football games to determine whether participants are correctly wearing helmets.

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{
                            helmet-wtchk_dataset,
                            title = { helmet Dataset },
                            type = { Open Source Dataset },
                            author = { project-kfq2c },
                            howpublished = { \url{ https://universe.roboflow.com/project-kfq2c/helmet-wtchk } },
                            url = { https://universe.roboflow.com/project-kfq2c/helmet-wtchk },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-06-27 },
                            }