Hel21 Object Detection Dataset and Pre-Trained Model by TT192021

Images

1224 images

Explore Dataset

Here are a few use cases for this project:

Traffic Safety Monitoring: The "Hel21" model can be used by transportation authorities to monitor and enforce helmet laws. This could involve automated systems at key traffic points to identify riders without appropriate helmets, potentially triggering immediate alerts to nearby police officers or even automatic fines.
Workplace Safety Compliance: In construction and industrial sites where different classes of helmets offer varying degrees of protection, this model can help detect whether workers are using the right type of helmet for their tasks. Potential noncompliance can be flagged instantly for supervisors to address.
Manufacturing Quality Control: Helmet manufacturers can utilize this model in their production line to ensure that the produced helmets are consistent with the intended design. By identifying the helmet classes, they can detect any flaws or deviations at an early stage, enhancing the quality control process.
Retail Inventory Management: Retailers selling safety gear could employ the "Hel21" model to track their inventory of various classes of helmets automatically. This could improve the accuracy and efficiency of stocktakes, and inform restocking decisions.
Accident Reconstruction: After a vehicle accident, insurance companies or investigators can use images or video footage of the incident to determine the type of helmet worn at the time. This information can contribute to the understanding of the severity of injuries, and can support or challenge claims made regarding the incident.

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{
                            hel21_dataset,
                            title = { Hel21 Dataset },
                            type = { Open Source Dataset },
                            author = { TT192021 },
                            howpublished = { \url{ https://universe.roboflow.com/tt192021/hel21 } },
                            url = { https://universe.roboflow.com/tt192021/hel21 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-06-18 },
                            }