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[](#performance-metrics)
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[](https://github.com/subh-775/Threat_Detection_YOLO-vs-RF-DETR)
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## Transformers for Object Detection
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The paradigm has shifted! While CNNs traditionally dominated object detection with faster inference times, **RF-DETR** (Roboflow's Detection Transformer) has revolutionized the field. This transformer-based architecture not only **outperforms CNNs** in accuracy but also delivers **faster inference** for real-time applications.
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[](#performance-metrics)
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[](https://github.com/subh-775/Threat_Detection_YOLO-vs-RF-DETR)
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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>
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<a href="https://github.com/roboflow/rf-detr">
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<img src="https://img.shields.io/badge/RF--DETR-Nano-purple?logo=roboflow&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%4050-84.8%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/-code-black?logo=github" alt="Code">
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</a>
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## Transformers for Object Detection
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The paradigm has shifted! While CNNs traditionally dominated object detection with faster inference times, **RF-DETR** (Roboflow's Detection Transformer) has revolutionized the field. This transformer-based architecture not only **outperforms CNNs** in accuracy but also delivers **faster inference** for real-time applications.
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