This model is built using tfjs and is based on the YOLOv8n architecture. It is capable of detecting two classes of objects: people wearing safety helmets and those who are not.
该模型使用tfjs构建，基于YOLOv8n架构，可以检测两类物体：戴安全帽的人和未戴安全帽的人。
This model is converted from https://huggingface.co/keremberke/yolov8n-hard-hat-detection
该模型转换自 https://huggingface.co/keremberke/yolov8n-hard-hat-detection
Supported Labels
["Hardhat", "NO-Hardhat"]
How to use
- Clone this github repo
- Read this repo readme
- Downloads last month
- 0
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
HF Inference API has been turned off for this model.
Dataset used to train lanseria/yolov8n-hard-hat-detection_web_model
Evaluation results
- [email protected](box) on hard-hat-detectionvalidation set self-reported0.836