HELMET-DATASET Computer Vision Project

MSUIIT

Updated a year ago

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Classes (2)
No Violation
Violation
Description

This dataset is meant to be used for the detection of violators and non violator motorcycle riders.

Violations include:

  • Triple Riding
  • No helmet
  • Riding of passenger in front of the driver

A subset (randomly selected) from the largest helmet usage dataset:

Siebert, F. W., & Lin, H. (2020). Detecting motorcycle helmet use with deep learning. Accident Analysis & Prevention, 134, 105319. https://doi.org/10.1016/j.aap.2019.105319

Supervision

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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-dataset-jahk2_dataset,
                            title = { HELMET-DATASET Dataset },
                            type = { Open Source Dataset },
                            author = { MSUIIT },
                            howpublished = { \url{ https://universe.roboflow.com/msuiit-esuvy/helmet-dataset-jahk2 } },
                            url = { https://universe.roboflow.com/msuiit-esuvy/helmet-dataset-jahk2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { nov },
                            note = { visited on 2024-11-22 },
                            }
                        
                    

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