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--- |
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license: mit |
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language: |
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- en |
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- zh |
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tags: |
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- yolov8 |
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- tfjs |
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- hard-hat |
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- ultralytics |
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- yolo |
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- object-detection |
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library_name: ultralytics |
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library_version: 8.0.23 |
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inference: false |
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datasets: |
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- keremberke/hard-hat-detection |
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model-index: |
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- name: keremberke/yolov8n-hard-hat-detection |
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results: |
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- task: |
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type: object-detection |
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dataset: |
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type: keremberke/hard-hat-detection |
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name: hard-hat-detection |
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split: validation |
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metrics: |
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- type: precision |
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value: 0.83633 |
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name: mAP@0.5(box) |
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--- |
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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. |
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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。 |
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This model is converted from https://huggingface.co/keremberke/yolov8n-hard-hat-detection |
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该模型转换自 https://huggingface.co/keremberke/yolov8n-hard-hat-detection |
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<div align="center"> |
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<img width="640" alt="keremberke/yolov8n-hard-hat-detection" src="https://huggingface.co/keremberke/yolov8n-hard-hat-detection/resolve/main/thumbnail.jpg"> |
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</div> |
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### Supported Labels |
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```JSON |
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["Hardhat", "NO-Hardhat"] |
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``` |
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### How to use |
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- Clone [this github repo](https://github.com/lanseria/yolov8-tfjs-vue-webrtc-demo) |
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- Read this repo readme |
