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Helmet Wearing Detection Computer Vision Project
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Helmet-Wearing Detection
Using the YOLOv8 a state-of-the-art (SOTA) YOLO model to Detect > then control the microcontroller
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{
helmet-wearing-detection-7yx0s_dataset,
title = { Helmet Wearing Detection Dataset },
type = { Open Source Dataset },
author = { BvoquEworkspace },
howpublished = { \url{ https://universe.roboflow.com/bvoqueworkspace/helmet-wearing-detection-7yx0s } },
url = { https://universe.roboflow.com/bvoqueworkspace/helmet-wearing-detection-7yx0s },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { jan },
note = { visited on 2024-05-01 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Helmet Wearing Detection project in your project.
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