Building an AI That Watches Rugby

The article explores the development of an AI system that observes rugby matches to provide a richer commentary experience by analyzing non-eventful data, such as referee audio and subtle gameplay tactics. It explains how the AI extracts essential game data, like the score and game clock, using image recognition and audio transcription tools. Challenges like high API costs for vision models and the potential of integrating OCR tools are discussed. The article highlights the broader implications for AI in sports, emphasizing the potential to deliver deeper insights and storytelling that go beyond traditional stats.

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