Motorcyle-Helmet Computer Vision Project

DIS Projects

Updated 2 years ago

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Classes (5)
bike_helmet
full_helmet
half_helmet
hard_helmet
no_helmet

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Description

Here are a few use cases for this project:

  1. Safety Compliance Monitoring: In workplaces or sports events where helmets are required, this model could be used to ensure compliance by monitoring CCTV or drone footage and identifying individuals not wearing the correct helmet.

  2. Traffic Law Enforcement: Traffic police could use it to automatically identify and penalize motorcyclists not using helmets (or not using the correct type) and thereby increase road safety.

  3. Sport Event Management: The model could be used to categorize different types of helmets worn in sports events like cycling, motorbiking, or go-karting for safety compliance and gear differentiation purposes.

  4. Retail Analytics: Sports gear retailers and manufacturers could use it to analyze customer preferences for different types of helmets in store or at events, to inform their product development and marketing strategies.

  5. Accident Investigation and Research: This model could be used in studying footage of accidents involving motorcyclists and bicyclists to assess and document the impact and performance of different helmet types during accidents.

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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{
                            motorcyle-helmet_dataset,
                            title = { Motorcyle-Helmet Dataset },
                            type = { Open Source Dataset },
                            author = { DIS Projects },
                            howpublished = { \url{ https://universe.roboflow.com/dis-projects-tddp6/motorcyle-helmet } },
                            url = { https://universe.roboflow.com/dis-projects-tddp6/motorcyle-helmet },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-12-25 },
                            }
                        
                    

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