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The Model Is the Easy Part: What a Real-Time Computer Vision Product Actually Takes

TL;DR AI

Key summary

2 min read
  1. Computer vision is usually an end-to-end pipeline problem, not just a model problem.

  2. Real products need representative accuracy, tight latency budgets, and the right deployment architecture.

  3. The Raqts racquet-sport wall example shows how a slow or brittle vision loop can fail in practice.

  4. The article reframes CV success as product and systems engineering, not just model performance.

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