## How to use AWS Sagemaker GroundTruth (GT)

Participants may use any crowdsourcing platform of their choice to collect human annotations. 
For any teams interested in using free AWS credits with [Amazon’s Sagemaker Ground Truth](https://aws.amazon.com/sagemaker/groundtruth/) (GT), we provide some helpful information below for getting started.

You can create a task in GT using the AWS management console or the AWS SDK ([Create a Labeling Job (API) - Amazon SageMaker](https://docs.aws.amazon.com/sagemaker/latest/dg/sms-create-labeling-job-api.html)). Check the following document for a step by step guide on setting up the challenge task in AWS Sagemaker Ground Truth.

[AWS Sagemaker Ground Truth - How to Guide](https://docs.google.com/document/d/10ic2TSZ8vwPc1u6u-2gU0gbG__vKeWfQn4Ut6SZTNLU/edit?usp=sharing)

### Additional Resources
- [A Complete Tutorial on Annotating Datasets with Amazon SageMaker Ground Truth](https://aws.amazon.com/getting-started/hands-on/build-training-datasets-amazon-sagemaker-ground-truth/)
- [Creating Custom Labeling Workflows - Amazon SageMaker](https://docs.aws.amazon.com/sagemaker/latest/dg/sms-custom-templates.html)
- [Github - Example task UIs for Amazon SageMaker Ground Truth](https://github.com/aws-samples/amazon-sagemaker-ground-truth-task-uis)