Walk a first image classifier from question to test
Sequence the decisions needed to run a first image-classification pilot responsibly.
Friday pilot pressure Sam has 900 labeled return photos and a request for a damage classifier by Friday. A rushed classifier can pass a notebook test while failing the returns workflow. CRISP-DM for vision pilots Decision -> data -> split -> model -> evaluation Use the process to prevent a model from answering a different question than the business asked. Shortcut Train first, explain later. The pilot score becomes decision evidence, not demo theater. The order matters because every later metric inherits the quality of the earlier framing. 01 Frame 02 Audit 03 Test Frame the action Business understanding
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