Safety Helmet Object Detection Dataset and Pre-Trained Model by jy6659

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Explore Dataset

Here are a few use cases for this project:

Construction Site Safety Compliance: The model could be used to monitor live camera feeds on construction sites to ensure all workers are wearing safety helmets at all times. If the model detects anyone without a safety helmet, alerts can be sent to the site manager.
Industrial Workplaces Monitoring: Similar to construction sites, in factories, plants and other industrial environments where workers are required to wear helmets, the model can be utilized to recognize whether all personnel are following safety protocols.
Bike Share Programs: Bike sharing companies can use this model to ensure that all users are wearing helmets for safety during rides. It could scan a user pre-ride and stop the transaction if a safety helmet is not detected.
Sports Safety Enforcement: The model could be used in sports like cycling, skateboarding, mountaineering, etc., to identify athletes without helmets and initiate automatic warnings or penalties.
Crowd Safety Analysis: During large gathering events or crowded public places where safety helmets are necessary, this model can be useful to ensure safety guidelines are being followed, and to rapidly alert security services if not.

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{
                            safety-helmet-smrpd_dataset,
                            title = { Safety Helmet Dataset },
                            type = { Open Source Dataset },
                            author = { jy6659 },
                            howpublished = { \url{ https://universe.roboflow.com/jy6659/safety-helmet-smrpd } },
                            url = { https://universe.roboflow.com/jy6659/safety-helmet-smrpd },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-06-25 },
                            }