Custom labeling workflows
These topics help you set up a Ground Truth labeling job that uses a custom labeling template. A
custom labeling template allows you to create a custom worker portal UI that workers will
use to label data. Template can be created using HTML, CSS, JavaScript, Liquid template language
Overview
If this is your first time creating a custom labeling workflow in Ground Truth, the following list is a high-level summary of the steps required.
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Set up your workforce – To create a custom labeling workflow you need a workforce. This topic teaches you about configuring a workforce.
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Creating a custom template – To create a custom template you must map the data from your input manifest file correctly to the variables in your template.
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Using optional processing Lambda functions – To control how data from your input manifest is added to your worker template, and how worker annotations are logged in your job's output file.
This topic also has three end-to-end demos to help you better understand how to use custom labeling templates.
Note
The examples in the links below all include pre-annotation and post-annotation Lambda functions. These Lambda functions are optional.
Topics
- Set up your workforce
- Creating a custom worker task template
- Adding automation with Liquid
- Processing data in a custom labeling workflow with Amazon Lambda
- Demo template: Annotation of images with crowd-bounding-box
- Demo Template: Labeling Intents with crowd-classifier
- Create a custom workflow using the API