Helmet detection Computer Vision Project

Hemet Annotations

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Description

Here are a few use cases for this project:

  1. 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.

  2. 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.

  3. Traffic Surveillance: The model can be utilized by traffic surveillance systems for automatic enforcement of helmet laws for motorcyclists and bicyclists.

  4. 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.

  5. 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.

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Cite This Project

LICENSE
CC BY 4.0

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 2024-11-15 },
                            }
                        
                    

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