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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
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.
Pipeline #1
Pipeline #2
Table of Contents
Table of Contents style circle
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