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              <text>Performance Analysis of YOLOv7 and YOLOv8 Models for Drone Detection</text>
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              <text>CNN (convoluted neural network); Computer Vision; Drone Detection; UAS (Unmanned Aerial System); unmanned aerial vehicles (UAVs); Yolo (You Only Look Once); Yolov7; Yolov8</text>
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              <text>Drone detection techniques are used to detect unmanned aerial systems (UAS) also commonly known as drones. A rapid increase in these drones has limited the airspace safety and so the research for drone detection has emerged. This study compares between the two widely used deep-learning models, previously used YOLOv7 and the latest YOLOv8. The overall finding of this study suggests that the YOLOv8 deep-learning model appears to be more promising and may make valuable contributions on their own. We got the result that for 10 epochs YOLOv8 gave 50.16% accuracy while YOLOv7 gave 48.16% accuracy making YOLOv8 more promising for the task. As a practical application for future work, we intend to deploy YOLOv8 on edge devices to achieve real-time drone detection in critical security applications.   2023 IEEE.</text>
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              <text>Agarwal K.; Ashik Sanyo M.S.; Bakshi S.; Vinay M.; Jayapriya J.; Deepa S.</text>
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              <text>2023 International Conference on Network, Multimedia and Information Technology, NMITCON 2023</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>2023-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/NMITCON58196.2023.10276343" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/NMITCON58196.2023.10276343&lt;/a&gt;
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              <text>ISBN: 979-835030082-6</text>
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              <text>Online</text>
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              <text>Agarwal K., Christ Universtiy, Department Computer Science, Karnataka, Bangalore, India; Ashik Sanyo M.S., Christ Universtiy, Department Computer Science, Karnataka, Bangalore, India; Bakshi S., Christ Universtiy, Department Computer Science, Karnataka, Bangalore, India; Vinay M., Christ Universtiy, Department Computer Science, Karnataka, Bangalore, India; Jayapriya J., Christ Universtiy, Department Computer Science, Karnataka, Bangalore, India; Deepa S., Christ Universtiy, Department Computer Science, Karnataka, Bangalore, India</text>
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