Skip to main content

Question 126

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?

  • A. Use Cloud Vision AutoML with the existing dataset.
  • B. Use Cloud Vision AutoML, but reduce your dataset twice.
  • C. Use Cloud Vision API by providing custom labels as recognition hints.
  • D. Train your own image recognition model leveraging transfer learning techniques.