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PROFESSIONAL-DATA-ENGINEER · Question #209
You work for a manufacturing company that sources up to 750 different components, each from a different supplier. You've collected a labeled dataset that has on average 1000 examples for each unique c
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Submitted by cyberguy42· Mar 30, 2026Operationalizing machine learning models
Question
You work for a manufacturing company that sources up to 750 different components, each from a different supplier. You've collected a labeled dataset that has on average 1000 examples for each unique component. Your team wants to implement an app to help warehouse workers recognize incoming components based on a photo of the component. You want to implement the first working version of this app (as Proof-Of-Concept) within a few working days. What should you do?
Options
- AUse Cloud Vision AutoML with the existing dataset.
- BUse Cloud Vision AutoML, but reduce your dataset twice.
- CUse Cloud Vision API by providing custom labels as recognition hints.
- DTrain your own image recognition model leveraging transfer learning techniques.
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Topics
#Cloud Vision AutoML#image classification#PoC#transfer learning