Bike Helmet Detection Object Detection Dataset and Pre-Trained Model by Bike Helmets

Images

1376 images

Explore Dataset

Background Information

This dataset was curated and annotated by Syed Salman Reza. A custom dataset composed of two classes (With Helmet, Without Helmet). Main objetive is to identify if a Biker wearing Helmet or not.

The original custom dataset (v1) is composed of 1,371 images of people with and without bike helmets.

The dataset is available under the Public License.

Example of an Annotated Image from the Dataset

Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

Dataset Versions

Version 1 (v1) - 1,371 images

Preprocessing: Auto-Orient and Resize (Stretch to 416x416)
Augmentations: Augmentations applied prior to import - Bounding Box Blur (up to 10px)
Training Metrics: Trained from the COCO Checkpoint in Public Models ("transfer learning") on Roboflow
- mAP = 74.4%, precision = 54.0%, recall = 77.0%

Version 2 (v2) - 3,735 images

Preprocessing: Auto-Orient and Resize (Stretch to 416x416)
Augmentations: Augmentations applied prior to import - Bounding Box Blur.
- New augmentations: Outputs per training example: 3 Rotation: Between -30° and +30° Shear: ±15° Horizontal, ±15° Vertical Blur: Up to 1.5px Mosaic: Applied
Training Metrics: Trained from the COCO Checkpoint in Public Models ("transfer learning") on Roboflow
- mAP = 91.5%, precision = 65.1%, recall = 92.8%

Syed Salman Reza - Github

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            bike-helmet-detection-2vdjo_dataset,
                            title = { Bike Helmet Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Bike Helmets },
                            howpublished = { \url{ https://universe.roboflow.com/bike-helmets/bike-helmet-detection-2vdjo } },
                            url = { https://universe.roboflow.com/bike-helmets/bike-helmet-detection-2vdjo },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { sep },
                            note = { visited on 2024-04-18 },
                            }