safety-helmet Object Detection Dataset and Pre-Trained Model by digitalimage

Images

571 images

Explore Dataset

Here are a few use cases for this project:

Construction Site Safety Monitoring: The "safety-helmet" model can be used to monitor construction sites and ensure workers are wearing appropriate safety gear, such as helmets, to reduce the risk of accidents and maintain compliance with safety regulations.
Industrial Hazard Prevention: In manufacturing plants or other industrial settings, the model can help identify workers not wearing proper safety helmets, allowing supervisors to take corrective action and improve overall safety conditions.
Accident Analysis: The model could be integrated into security cameras and used to analyze footage to determine if safety helmets were worn during accidents, aiding in accident investigations and providing valuable data for improving safety measures.
Safety Training and Education: The "safety-helmet" model can be used in training and educational materials to reinforce the importance of wearing safety gear, by visually detecting and analyzing real-world examples of proper and improper use of safety helmets.
Smart Cities and Public Safety: The model could be employed in smart city infrastructure or public spaces with ongoing construction or maintenance work to ensure workers and passersby are following safety protocols and wearing appropriate protective gear, like helmets.

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

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

@misc{
                            safety-helmet-q3b8o_dataset,
                            title = { safety-helmet Dataset },
                            type = { Open Source Dataset },
                            author = { digitalimage },
                            howpublished = { \url{ https://universe.roboflow.com/digitalimage-114q6/safety-helmet-q3b8o } },
                            url = { https://universe.roboflow.com/digitalimage-114q6/safety-helmet-q3b8o },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { may },
                            note = { visited on 2024-05-11 },
                            }