Bike Helmet Detection Image 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

Maintainer

bike-helmets

Last Updated

8 months ago

Project Type

Object Detection

Subject

rider-helmet-bike

Classes

With Helmet, Without Helmet

License

Public Domain