Label Studio
labelstud.ioLabel any data. Evaluate any AI.
AI Toolsdata-labelingannotationllm-evaluationrlhfcomputer-visionnlpopen-source
About
Label Studio is an open-source data labeling and AI evaluation platform that supports a wide range of data types including images, text, audio, video, and time series. It enables teams to annotate training data, conduct LLM evaluations, run RLHF workflows, and perform human-in-the-loop review of AI agent traces. The platform covers use cases from computer vision and NLP to document AI and agentic AI evaluation.
Problem
Teams need a flexible, multi-modal platform to label training data and evaluate AI model outputs across diverse data types and use cases.
For
ML engineers, data scientists, and AI teams building and evaluating machine learning models
How it works
Users connect their data sources, configure labeling or evaluation tasks using customizable templates and interfaces, and annotate or review outputs — optionally integrating ML models for pre-labeling and human-in-the-loop workflows.
Business model
open-source
Status
launched
Company
HumanSignal