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Welcome to the Context Capture tutorial on using appropriate detectors for annotations. This guide covers the basics for extracting intelligence from reality data. Steps include: 1) setting up your Context Capture project, 2) running production and selecting annotations, and 3) downloading or utilizing an available detector. It’s important to define how annotations will overlay your reality data, using either existing detectors or ones downloaded from a dedicated webpage. Selecting the right detector is crucial, as each is trained on specific data for particular purposes. Efficiency is influenced by the similarity of your dataset to the trained data. Consider three key questions: what are my input data, what output do I expect, and how will they align?
