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
Section
User Facing Name
Type
Description
Constraints
Basic
Features
checkboxes
The 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.