This ebook provides a foundational overview of computer vision, explaining how machines interpret images and video using AI. It introduces core concepts such as image classification, object detection, facial recognition, and visual similarity search, breaking down how models are trained, evaluated, and deployed. The guide explains real-world applications across industries including retail, manufacturing, healthcare, and security. It also outlines the role of data labeling, model accuracy, bias mitigation, and infrastructure considerations. Designed for both technical and non-technical audiences, the ebook helps readers understand how computer vision systems work end-to-end and how organizations can begin implementing visual AI responsibly and effectively.

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