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When you wished to educate a machine-learning model to recognize and differentiate photos of circles and squares, you'd start by accumulating a sizable dataset of photos of circles and squares in various contexts, like a drawing of a World for just a circle, or maybe a table for your square, for instance, finish with labels for what each shape is.�