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README.md
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## CNNs for Object Detection
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**YOLOv8**, developed by Ultralytics, continues the legacy of the highly popular YOLO (You Only Look Once) series. This version brings significant improvements in both speed and accuracy, making it a top choice for real-time object detection tasks. Its efficient CNN-based architecture is optimized for performance on both CPUs and GPUs.
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<a href="https://opensource.org/licenses/MIT">
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<img src="https://img.shields.io/badge/License-MIT-yellow.svg" alt="License">
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<a href="https://github.com/ultralytics/ultralytics">
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<img src="https://img.shields.io/badge/YOLOv8-Nano-blue?logo=ultralytics&logoColor=white" alt="Model">
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</a>
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<a href="#performance-metrics">
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<img src="https://img.shields.io/badge/mAP%4050-81.1%25-brightgreen?style=flat" alt="mAP">
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</a>
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<a href="https://github.com/subh-775/Threat_Detection_YOLO-vs-RF-DETR">
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<img src="https://img.shields.io/badge/GitHub-Repo-blue?logo=github" alt="Code">
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</p>
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## CNNs for Object Detection
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**YOLOv8**, developed by Ultralytics, continues the legacy of the highly popular YOLO (You Only Look Once) series. This version brings significant improvements in both speed and accuracy, making it a top choice for real-time object detection tasks. Its efficient CNN-based architecture is optimized for performance on both CPUs and GPUs.
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