Helmet detection Object Detection Dataset and Pre-Trained Model by Hemet Annotations

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Explore Dataset

Here are a few use cases for this project:

Construction Site Safety: The "Helmet Detection" model can be used to enforce safety protocols in construction sites by automatically identifying and alerting supervisors when a worker is not wearing a helmet.
Sports Compliance: The model can be applied to detect whether athletes in sports like cycling, motor racing, or American football are wearing helmets during practices or competitions, ensuring compliance with safety rules.
Traffic Surveillance: The model can be utilized by traffic surveillance systems for automatic enforcement of helmet laws for motorcyclists and bicyclists.
Industrial Safety Monitoring: Companies can use this model in factories and industrial settings to monitor workers' compliance with safety regulations, reducing the risk of head injuries.
Emergency Response Evaluation: The model could assist emergency responders by quickly assessing the helmet use of victims in accidents involving bicycles or motorcycles, providing valuable data for medical triage.

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-detection-0xjjk_dataset,
                            title = { Helmet detection Dataset },
                            type = { Open Source Dataset },
                            author = { Hemet Annotations },
                            howpublished = { \url{ https://universe.roboflow.com/hemet-annotations/helmet-detection-0xjjk } },
                            url = { https://universe.roboflow.com/hemet-annotations/helmet-detection-0xjjk },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-05-16 },
                            }