Computer vision beyond the lab
Why lighting, angle, camera quality and human workflow can matter more than a lab accuracy score.
Technology creates value when it remains explainable, measurable and correctable.
Before choosing a model or tool, establish where authoritative knowledge lives, who owns it and how often it changes.
A durable architecture draws explicit boundaries between ingestion, retrieval, ranking, generation and evaluation.
Responsible rollout starts with a bounded domain, a quality baseline and real user feedback, then grows deliberately.
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