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Introduction

Cloud Vision plugins will allow users to use pre-trained Vision API models to detect emotion, understand text, and more. They will be useful in enriching data with additional attributes such as labels, faces, etc.

NOTE: These plugins will incur additional cost of the Cloud Vision APIs

Use case(s)

  • As a user, I want to various features in my images and documents using the Cloud Vision API, so that I can add ML-driven enrichments to my Data Fusion pipelines that process unstructured data
  • As a user, I want easy, UI-driven ways of manipulating and understanding the output of the Cloud Vision API, so that I do not need to write any code for parsing it.

User Storie(s)

Plugin Type

  • Batch Source
  • Batch Sink 
  • Real-time Source
  • Real-time Sink
  • Transform
  • Action
  • Post-Run Action
  • Aggregate
  • Join
  • Spark Model
  • Spark Compute

Configurables 

SectionUser Facing NameTypeDescriptionConstraints
Basic




FeaturescheckboxesThe features to extract from documents

Design / Implementation Tips

  • Tip #1
  • Tip #2

Design

Approach(s)

Properties

Security

Limitation(s)

Future Work

  • Some future work – HYDRATOR-99999
  • Another future work – HYDRATOR-99999

Test Case(s)

  • Test case #1
  • Test case #2

Sample Pipeline

Please attach one or more sample pipeline(s) and associated data. 

Pipeline #1

Pipeline #2



Table of Contents

Checklist

  • User stories documented 
  • User stories reviewed 
  • Design documented 
  • Design reviewed 
  • Feature merged 
  • Examples and guides 
  • Integration tests 
  • Documentation for feature 
  • Short video demonstrating the feature
  • No labels