Helmet and Number Plate Detection for Motorbike Safety Computer Vision Project

HELMET AND NUMBER PLATE DETECTION PROJECT

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Description

Project Overview This project, Helmet and Number Plate Detection for Motorbike Safety, provides a dataset for detecting motorbike riders wearing helmets, riders without helmets, and the presence of number plates. The dataset can be used for road safety monitoring, automated enforcement, and toll access systems.

Classes: The dataset includes the following classes:

Bike: Identifies motorcycles and two-wheelers.
Helmet: Detects riders wearing helmets.
No Helmet: Identifies riders without helmets.
Number Plate: Detects the presence of a number plate on the vehicle.

Current Status: Training Complete: Using the YOLOv11 model, we trained with 20,000 images across 300 epochs to achieve high accuracy. Public and Open to Contribution: The dataset allows community contributions to continually improve label accuracy and expand the dataset.
External Resources: YOLOv11 Documentation

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LICENSE

CC BY 4.0

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

                        @misc{
                            helmet-and-number-plate-detection-for-motorbike-safety-iityz_dataset,
                            title = { Helmet and Number Plate Detection for Motorbike Safety Dataset },
                            type = { Open Source Dataset },
                            author = { HELMET AND NUMBER PLATE DETECTION PROJECT },
                            howpublished = { \url{ https://universe.roboflow.com/helmet-and-number-plate-detection-project/helmet-and-number-plate-detection-for-motorbike-safety-iityz } },
                            url = { https://universe.roboflow.com/helmet-and-number-plate-detection-project/helmet-and-number-plate-detection-for-motorbike-safety-iityz },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { oct },
                            note = { visited on 2024-11-24 },
                            }