Pre-build Label Studio provides a variety of built-in labeling templates as building blocks, you don't have to create data annotation workflows from scratch. It helps export labels supporting popular ML framework formats like TensorFlow, PyTorch, sci-kit-learn, SageMaker, and others. This also creates a seamless model development workflow from data labeling to model building and deployment. Features include: Data Manager - It has a built-in data storage infrastructure. With it, you don't need to move data between different systems since it provides data versioning. Collaboration - Allows teams to collaborate through features like annotations history, comments on labels, etc. Pre-annotation - Automatically pre-annotates new data and speeds up data labeling using pre-trained models. Analytics - Provides analytics on annotator performance through inter-annotator metrics, label distribution, etc., to improve quality. REST API - API access is offered to integrate Label Studio into your environments and workflows.