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  # HockeyAI: A Multi-Class Ice Hockey Dataset for Object Detection
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  The **HockeyAI dataset** is an open-source dataset designed specifically for advancing computer vision research in ice hockey. With approximately **2,100 high-resolution frames** and detailed YOLO-format annotations, this dataset provides a rich foundation for tackling the challenges of object detection in fast-paced sports environments.
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  The dataset is ideal for researchers, developers, and practitioners seeking to improve object detection and tracking tasks in ice hockey or similar dynamic scenarios.
 
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  # HockeyAI: A Multi-Class Ice Hockey Dataset for Object Detection
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+ <div style="background-color:#f8f9fa; color:black; border-left: 6px solid #0073e6; padding: 10px; margin: 10px 0;">
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+ 🔗 This dataset is part of the <span style="color:red">HockeyAI</span> ecosystem.
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+ - 💻 Check out the corresponding <span style="color:red">Hugging Face Space</span> for a live demo: <a href="https://huggingface.co/spaces/SimulaMet-HOST/HockeyAI" style="color:blue;">https://huggingface.co/spaces/SimulaMet-HOST/HockeyAI</a>
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+ - 🏒 The trained <span style="color:red">model</span> for this dataset is available here: <a href="https://huggingface.co/SimulaMet-HOST/HockeyAI" style="color:blue;">https://huggingface.co/SimulaMet-HOST/HockeyAI</a>
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+ </div>
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  The **HockeyAI dataset** is an open-source dataset designed specifically for advancing computer vision research in ice hockey. With approximately **2,100 high-resolution frames** and detailed YOLO-format annotations, this dataset provides a rich foundation for tackling the challenges of object detection in fast-paced sports environments.
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  The dataset is ideal for researchers, developers, and practitioners seeking to improve object detection and tracking tasks in ice hockey or similar dynamic scenarios.