Label Studio Workshop: Intro to Programmatic Actions with SDK 2.0.0

​This session accommodates North American Time zones. If you are looking for an earlier session, check out this event: https://luma.com/ynemg0nz

​What You’ll Learn

​​This 90-minute, small-group workshop will show you how to take your labeling workflows beyond the UI with the new Label Studio SDK 2.0.0. You’ll learn to use the SDK, ML backends, and pre-annotations to programmatically manage projects and accelerate data labeling.

​​We’ll cover how to:

• ​​Explore and extend an existing project in the Label Studio UI

• ​​Interact with your data programmatically using the updated SDK (expanded project settings, relaxed validation, improved actions.list()

• ​​Configure ML backends and generate pre-annotations

• ​​Use Prompts to automate and refine labels

• ​​Work with enterprise-grade features like inter-annotator agreement (projects.stats.iaa), task comments, and secure S3 export options

• ​​Format your data for model predictions and human-in-the-loop review

​​We’ll walk through a live project, then work with your own data and config files to show how these advanced features fit into your workflow. You’ll also have space to engage directly with Label Studio experts.

​​You’ll Walk Away With

• ​​Hands-on experience upgrading workflows to SDK 2.0.0

• ​​Best practices for handling breaking changes in existing scripts

• ​​Skills to increase the efficiency and accuracy of annotation pipelines
  

​​Who Should Join

​​Label Studio users with Python experience—especially data scientists and ML engineers building pipelines or evaluating AI models.