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Subh775
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Firearm_Detection_Yolov8n

Object Detection
English
yolov8
firearm-detection
computer-vision
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@@ -20,7 +20,7 @@ new_version: Subh775/Threat-Detection-RF-DETR
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  [![Framework](https://img.shields.io/badge/Framework-Ultralytics-orange.svg)](https://ultralytics.com/)
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  [![Python](https://img.shields.io/badge/Python-3.8%2B-blue.svg)](https://www.python.org/)
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- Try out the more accurate version at: [![Hugging Face Model](https://img.shields.io/badge/%F0%9F%A4%97%20H%20F-Model-darkred)](Subh775/Threat-Detection-RF-DETR)
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  A high-performance **YOLOv8-nano** model specifically trained for firearm detection in images and videos. This model achieves exceptional accuracy with 89.0% mAP@0.5 and is optimized for real-time inference applications in security and surveillance systems.
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  [![Framework](https://img.shields.io/badge/Framework-Ultralytics-orange.svg)](https://ultralytics.com/)
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  [![Python](https://img.shields.io/badge/Python-3.8%2B-blue.svg)](https://www.python.org/)
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+ Try out the more accurate version at: [![Hugging Face Model](https://img.shields.io/badge/%F0%9F%A4%97%20H%20F-Model-darkred)](https://huggingface.co/Subh775/Threat-Detection-RF-DETR)
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  A high-performance **YOLOv8-nano** model specifically trained for firearm detection in images and videos. This model achieves exceptional accuracy with 89.0% mAP@0.5 and is optimized for real-time inference applications in security and surveillance systems.
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