Object Detection

helmetdetection Computer Vision Project


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Here are a few use cases for this project:

  1. Workplace Safety Enforcement: The 'helmetdetection' model could be used in industrial and construction sites to ensure workers' compliance with safety rules. It can automatically monitor whether or not employees are wearing helmets and flag if anyone is not following guidelines.

  2. Sports Safety Compliance: This computer vision model can also be applied in various sports to detect whether players are wearing helmets during the game, enhancing the regulation of safety measures.

  3. Helmet Detection in Traffic: The model could be integrated into traffic monitoring systems to detect motorcyclists or cyclists not wearing a helmet. This information could then be used for traffic rule enforcement.

  4. Personal Safety Gadgets: Helmet detection technology could be implemented in personal safety devices — for instance, cameras mounted on dashboards or helmets — to trigger an alert or stop the vehicle if the driver is not wearing a helmet.

  5. Accident Analysis: The model could be used in accident investigation cases to quickly assess if the victims were wearing helmets or not during the incident, providing key information for insurance claims and law enforcement.

Cite this Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ helmetdetection-8gi5r_dataset,
    title = { helmetdetection Dataset },
    type = { Open Source Dataset },
    author = { new-workspace-s32a1 },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { apr },
    note = { visited on 2023-12-09 },

Find utilities and guides to help you start using the helmetdetection project in your project.

Last Updated

2 years ago

Project Type

Object Detection




3, helmet, no_helmet

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CC BY 4.0