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.

Question

Quizplus · Accepted Answer

Cloud Vision AutoML is a suitable choice for quickly building a custom image recognition model with the existing dataset, allowing for a rapid Proof-Of-Concept implementation.

You Work for a Manufacturing Company That Sources Up to 750