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README.md
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- ultralytics
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- yolo
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- object-detection
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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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- 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 # since mAP@0.5 is not available on hf.co/metrics
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value: 0.83633 # min: 0.0 - max: 1.0
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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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