Accelerate custom labeling workflows in Amazon SageMaker Ground Truth without using AWS Lambda

The article discusses a new feature in Amazon SageMaker Ground Truth that allows creating custom labeling jobs without using AWS Lambda functions.

Specifically, the article covers:

• Overview of Amazon SageMaker Ground Truth and its ability to create custom labeling workflows
• Explanation of how custom labeling jobs previously required pre-annotation and post-annotation AWS Lambda functions for data preprocessing and annotation consolidation
• Introduction of the new capability to create custom labeling jobs without Lambda functions, simplifying the setup process
• Step-by-step guide on preparing the input manifest file, inserting data into the UI template, and creating the labeling job via the SageMaker console or CreateLabelingJob API
• Benefits of labeling jobs without Lambda functions, such as simplified setup, time savings, reduced complexity, cost reduction, and flexibility
• Conclusion encouraging readers to explore this new feature and providing resources for getting started