Training and validating a classifier · MAAI7602 Applied Computer Vision

A classifier is fitted on training images, its recipe is chosen on validation images, and its final performance is reported once on test images. Learning curves show whether it fits and whether it generalises. How is an image classifier trained, and how is its performance on unseen images estimated?

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