Datasets:
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README.md
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license: mit
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---
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license: mit
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task_categories:
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- object-detection
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language:
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- en
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tags:
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- Oriented Logo Detection
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- Oriented Object Detection
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- Sponsor Visibility
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- logo
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- detction
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pretty_name: ExposureEngine
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<div style="font-family: Inter, -apple-system, Segoe UI, Roboto, Helvetica, Arial, sans-serif; max-width: 940px; margin: 0 auto; line-height: 1.55; color: #111; text-align: left;">
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<div style="background: linear-gradient(135deg,#0ea5e9,#8b5cf6); border-radius: 12px; padding: 22px 24px; color: #fff; box-shadow: 0 6px 18px rgba(0,0,0,0.15);">
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<h1 style="margin: 0 0 6px; font-size: 28px; letter-spacing: 0.2px; text-align: left;">ExposureEngine: Oriented Logo Detection & Sponsor Visibility Analytics (Dataset)</h1>
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<p style="margin: 0; opacity: 0.95; text-align: left;">Rotation-aware <strong>OBB</strong> annotations for sponsor logos in professional soccer broadcasts — built for <strong>sports analytics</strong>, <strong>YOLO OBB training</strong>, and <strong>sponsorship measurement</strong>.</p>
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</div>
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<div style="display: flex; gap: 10px; flex-wrap: wrap; margin: 14px 0 22px; text-align: left;">
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<span style="background:#eef2ff; color:#3730a3; padding:6px 10px; border-radius:999px; font-size:12px;">Oriented Bounding Boxes</span>
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<span style="background:#ecfeff; color:#155e75; padding:6px 10px; border-radius:999px; font-size:12px;">Sports Broadcasts</span>
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<span style="background:#f0fdf4; color:#166534; padding:6px 10px; border-radius:999px; font-size:12px;">Sponsorship Analytics</span>
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<span style="background:#fff7ed; color:#9a3412; padding:6px 10px; border-radius:999px; font-size:12px;">YOLOv8/YOLOv11 OBB</span>
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<span style="background:#fef2f2; color:#991b1b; padding:6px 10px; border-radius:999px; font-size:12px;">Brand Visibility</span>
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</div>
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<div style="background: linear-gradient(135deg,#0ea5e9,#8b5cf6); border-radius: 12px; padding: 22px 24px; color: #fff; box-shadow: 0 6px 18px rgba(0,0,0,0.15);">
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<p><strong>ExposureEngine</strong> provides high-quality <em>oriented bounding box (OBB)</em> polygon annotations of sponsor logos from professional soccer footage to enable accurate <strong>sponsor visibility measurement</strong>, <strong>logo tracking</strong>, and <strong>rotation-aware detection</strong>.</p>
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</div>
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<div style="background:#f9fafb; border: 1px solid red; border-radius: 12px; padding: 16px 18px; margin-top: 18px;">
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<h2 style="margin: 0 0 10px; font-size: 20px;color: black">📂 Dataset Overview</h2>
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<ul style="margin: 0; padding-left: 18px; color:black">
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<li><strong style="color: black">Source:</strong> 97 broadcast highlight clips from the <em>2024 Swedish Elite Soccer League</em></li>
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<li><strong style="color: black">Frames:</strong> 1,103 curated frames (sampled at 1 FPS)</li>
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<li><strong style="color: black">Annotations:</strong> 670 unique sponsor logos with <strong>OBB polygon coordinates</strong> (YOLO format)</li>
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<li><strong style="color: black">Coverage:</strong> 32 matches · 16 teams · diverse events: Goals, Shots, Yellow Cards, Offsides, Substitutions</li>
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<li><strong style="color: black">Splits:</strong> Train / Validation / Test = <strong>80 / 10 / 10</strong></li>
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</ul>
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</div>
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<div style="background:#fefce8; border:1px solid #facc15; border-radius:12px; padding:14px 16px; margin-top:18px;">
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<h2 style="margin:0 0 10px; font-size:20px; color: black">🔍 Why Oriented Bounding Boxes?</h2>
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<p style="margin:0;">OBB captures <strong>rotation</strong>, <strong>skew</strong>, and <strong>perspective</strong> — common in sports due to dynamic camera angles, jersey folds, and slanted boards. This improves <strong>coverage accuracy</strong> and <strong>downstream analytics</strong> over traditional HBB.</p>
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</div>
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<div style="background:#ecfdf5; border:1px solid #34d399; border-radius:12px; padding:14px 16px; margin-top:18px;">
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<h2 style="margin:0 0 10px; font-size:20px;color: black">🚀 Applications</h2>
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<ul style="margin:0; padding-left:18px;">
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<li>Sports <strong>sponsorship analytics</strong> & reporting</li>
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<li><strong>YOLO-based</strong> OBB training & benchmarking</li>
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<li>Brand <strong>visibility measurement</strong> in broadcasts</li>
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<li>Content adaptation for <strong>social media</strong> & OTT</li>
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</ul>
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</div>
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<div style="background:#eff6ff; border: 1px solid #3b82f6; border-radius: 12px; padding: 14px 16px; margin-top: 18px;">
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<h2 style="margin:0 0 10px; font-size:20px;color: black">⚡ Quick Start (🤗 Datasets)</h2>
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<pre style="margin:0; background:#0b1021; color:#e5e7eb; padding:12px 14px; border-radius:10px; overflow:auto;"><code>from datasets import load_dataset
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dataset = load_dataset("SimulaMet-HOST/ExposureEngine")
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print(dataset)</code></pre>
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<p style="margin:10px 0 0; font-size:14px; color:#374151;">Each label file contains <strong>four-corner polygon coordinates</strong> per logo in <em>YOLO OBB</em> format.</p>
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</div>
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<div style="background:#faf5ff; border:1px solid #a855f7; border-radius:12px; padding:14px 16px; margin-top:18px;">
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<h2 style="margin:0 0 10px; font-size:20px;color: black">📄 Citation</h2>
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<p style="margin:0;">If you use this dataset, please cite:</p>
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<p style="margin:8px 0 0;"><em>ExposureEngine: Oriented Logo Detection and Sponsor Visibility Analytics in Sports Broadcasts.</em></p>
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</div>
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<div style="background:#f1f5f9; border:1px solid #94a3b8; border-radius:12px; padding:14px 16px; margin-top:18px;">
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<h2 style="margin:0 0 10px; font-size:20px;color: black">📬 Contact</h2>
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<p style="margin:0;">Email: <a href="mailto:mehdi@forzasys.com" style="color:#2563eb; text-decoration:none;">mehdi@forzasys.com</a></p>
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</div>
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</div>
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