AI Evaluation & Observability Integrations

Evaluate multi-turn AI conversations with automatic sync

Evaluate LLM Output Quality

Debug and evaluate AI agents with observability traces

Azure cloud storage for data labeling

Secure, flexible authentication for Azure.

Unify your data and AI

Keyless, short-lived access to storage

Google cloud storage for data labeling

AWS cloud storage for data labeling

A secure way to move data in and out of projects

Building safe, reliable, and steerable artificial intelligence

Foundational models and AI solutions

A family of advanced AI models that power a suite of AI features across Google products.

Text generation with Hugging Face language models

Enterprise AI studio for foundation model inference

Open-weight foundation models for text and vision

Provides powerful language and vision models through hosted APIs.

Enterprise ready, fully-managed, unified AI development platform

Text-Driven Object Detection Model

Bounding box image labeling

Image Segmentation Model

Interactive image segmentation with Meta's latest model

Computer vision models

Named entity recognition

Generalist NER with zero-shot entity extraction

Named entity recognition with transformer models

Train and deploy text classifiers with BERT

Open-source software library for advanced natural language processing

Vision-language model for end-to-end document conversion

Optical Character Recognition (OCR) engine

Automated bounding box OCR

Unstructured data ingestion and preprocessing

Voice AI

Automated audio transcription

Label Studio in Hugging Face Spaces

State-of-the-art ML models for any modality

Open source machine learning framework

Machine learning toolkit

Open source deep learning framework

Extensible MLOps framework

Integrate Label Studio with AWS SageMaker

Container installation of Label Studio

Infrastructure to deploy and scale Label Studio

Automated installation

Advanced relational storage for data annotations

Default embedded database in Label Studio