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  # πŸ’ HockeyAI: A Multi-Class Ice Hockey Dataset for Object Detection
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- ## Overview
 
 
 
 
 
 
 
 
 
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  HockeyAI is a specialized dataset and object detection system designed for ice hockey analysis. Built on the YOLOv8 architecture, this project provides accurate detection of key hockey game elements including players, officials, and game-specific features. The project includes both a comprehensive dataset and benchmark implementations using YOLOv8.
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  ## 🎯 Dataset Classes
 
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  # πŸ’ 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 #ff9800; padding: 10px; margin: 10px 0;">
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+ πŸ”— This interactive demo is powered by the <span style="color:red">HockeyAI</span> model and dataset.
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+ - πŸ“‚ Download the dataset used in this project: <a href="https://huggingface.co/datasets/SimulaMet-HOST/HockeyAI" style="color:blue;">https://huggingface.co/datasets/SimulaMet-HOST/HockeyAI</a>
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+ - πŸ€– View details of the trained <span style="color:red">model</span>: <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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  HockeyAI is a specialized dataset and object detection system designed for ice hockey analysis. Built on the YOLOv8 architecture, this project provides accurate detection of key hockey game elements including players, officials, and game-specific features. The project includes both a comprehensive dataset and benchmark implementations using YOLOv8.
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  ## 🎯 Dataset Classes