Infrastructure

Container installation of Label Studio

Infrastructure to deploy and scale Label Studio

Automated installation

Integrate Label Studio with AWS Sagemaker

Uncover data issues and errors

Active learning for data management

Deploy, run and monitor ML models

Unstructured data ingestion and preprocessing

Extensible MLOps framework

Library to enable Bayesian active learning

Named entity recognition

Text-Driven Object Detection Model

Label Studio in Hugging Face Spaces

Evaluate LLM Output Quality

Automated audio transcription

Bounding box image labeling

Open source machine learning framework

Machine learning toolkit

Image Segmentation Model

Open source deep learning framework

Automated bounding box OCR

YOLO data annotation format

Azure cloud storage for data labeling

Google cloud storage for data labeling

Automated versioning for data labeling

AWS cloud storage for data labeling

Advanced relational storage for data annotations

High-speed cache for annotation data

Default embedded database in Label Studio