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
File Path Batch Source
Section
User Facing Name
Type
Description
Constraints
Basic
Access Token
Features
checkboxes
The features to extract from documents. Select from
Image Extractor transform
Section
User Facing Name
Type
Description
Constraints
Basic
Access Token
Features
checkboxes
The features to extract from documents. Select from
File Extractor transform
Section
User Facing Name
Type
Description
Constraints
Basic
Access Token
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.