HELMET-DATASET Computer Vision Project
MSUIIT
Updated a year ago
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
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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 2024-11-05 },
}