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Your organization needs to categorize objects in a large group of static images using machine learning. Which Google Cloud product or service should your organization use?
Vision API can assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
For categorizing objects in static images using machine learning, your organization can utilize Google Cloud Vision API. Google Cloud Vision API offers pre-trained machine learning models for image analysis and recognition tasks.
By leveraging the Google Cloud Vision API, your organization can automate the process of categorizing objects in large sets of static images, reducing the manual effort required for image analysis. The API provides a simple and scalable solution for image recognition tasks, enabling you to extract valuable insights and metadata from your image data.
I agree with those who say that AutoML Tables is the incorrect answer as it is used for structured data. Static images is unstructured data.
https://cloud.google.com/automl-tables/docs
AutoML Tables enables your entire team to automatically build and deploy state-of-the-art machine learning models on structured data at massively increased speed and scale.
Answer C.
Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
AutoML Table is for structured data.
"AutoML Tables enables your entire team to automatically build and deploy state-of-the-art machine learning models on structured data at massively increased speed and scale."
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