This ebook provides a comprehensive introduction to computer vision and visual recognition for businesses and developers evaluating AI adoption. It explains what computer vision can and cannot do, how models are trained, and where the technology delivers the most value across industries. The guide walks readers through core concepts such as image and video recognition, domain-specific versus general models, and custom model training. A major focus is the “build vs. buy” decision, outlining the costs, risks, and technical debt associated with building in-house AI compared to using AI-as-a-Service platforms. The ebook also offers a structured framework for evaluating visual recognition APIs, covering accuracy, editorial bias, pricing models, scalability, support, security, and vendor trustwo

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