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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>DroneDetectionDataset</title>
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<body>
<a href="index.html" class="back-btn">← Back to Datasets</a>
<h1>DroneDetectionDataset</h1>
<h2>Overview</h2>
<p>A real-world object detection dataset specifically designed for detecting quadcopter UAVs. It contains over 50,000 training images and 5,000 test images with annotations in PASCAL VOC format.</p>
<h2>Key Statistics</h2>
<ul>
<li>51,446 training images</li>
<li>5,375 test images</li>
<li>Single class: "drone" (quadcopter UAV)</li>
<li>Various lighting conditions and environments</li>
<li>Different distances and angles</li>
</ul>
<h2>Strengths</h2>
<ul>
<li>Large-scale, focused dataset</li>
<li>Real-world capture conditions</li>
<li>Well-structured train/test split</li>
<li>Standard annotation format</li>
</ul>
<h2>Limitations</h2>
<ul>
<li>Limited to quadcopter UAVs</li>
<li>Single class only</li>
<li>No temporal information</li>
<li>Limited environmental diversity</li>
</ul>
<h2>Applications</h2>
<ul>
<li>Counter-drone systems</li>
<li>Drone detection for security</li>
<li>Airspace monitoring</li>
<li>Restricted area surveillance</li>
</ul>
<h2>Source</h2>
<p>GitHub: <a href="https://github.com/Maciullo/DroneDetectionDataset" target="_blank">https://github.com/Maciullo/DroneDetectionDataset</a></p>
<a href="index.html" class="back-btn">← Back to Datasets</a>
</body>
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