Label Studio
Open SourceOpen-source platform for multimodal data labeling, AI evaluation, and human-in-the-loop workflows.
Tool Information
What is Label Studio?
Label Studio is an open-source data annotation and AI evaluation platform for multimodal data. It supports workflows involving agent traces, language models, computer vision, documents, natural language, audio, speech, time series, and other multimodal data.
Core Features
Multimodal data labeling
Annotate computer vision, document, NLP, audio, speech, time series, and multimodal data for AI workflows.
LLM and agent evaluation
Review agent traces, collect human preferences and corrections, create benchmarks and rubrics, compare outputs, and evaluate retrieval relevance and generated answers.
Computer vision annotation
Support image classification, object detection, object tracking, and semantic segmentation with boxes, polygons, circles, and keypoints.
Document and NLP annotation
Annotate PDFs and images for OCR, named entity recognition, question answering, sentiment analysis, and related workflows.
Audio and speech annotation
Support audio transcription, waveform and spectrogram workflows, speaker diarization, and emotion recognition.
Time series annotation
Classify, segment, and identify events in data from robots, sensors, and IoT devices.
Customizable interfaces
Use programmable layouts and templates that adapt to data, tasks, and evaluation criteria.
AI and ML workflow connectivity
Connect APIs, a Python SDK, webhooks, data storage, and AI models for predictions, training, active learning, and evaluation workflows.
Use Cases
- #1
Training data preparation
Create labeled datasets for machine learning and AI model training.
- #2
Human-in-the-loop AI evaluation
Review AI outputs and agent traces using human feedback, corrections, rankings, benchmarks, and rubrics.
- #3
Computer vision development
Label images and video for classification, detection, tracking, and segmentation.
- #4
Document intelligence
Annotate documents and images for OCR, entity extraction, question answering, and related NLP workflows.
- #5
Speech and audio processing
Transcribe audio and annotate speaker identity, waveform or spectrogram data, and emotional characteristics.
- #6
Robotics and IoT data analysis
Classify time series, segment relevant regions, and label events in sensor and device data.
Pricing Plans
The official homepage describes Label Studio as an open-source platform and provides installation options for pip, Homebrew, Git, and Docker. It also references Label Studio Enterprise, but no pricing amounts, plans, or billing details are clearly published in the provided facts.
Alternatives
Frequently Asked Questions
What is Label Studio used for?
What types of data can Label Studio annotate?
Can Label Studio be used to evaluate language models and AI agents?
Is Label Studio open source?
How can Label Studio be installed?
Does Label Studio provide integrations for AI and machine learning workflows?
Does Label Studio have published pricing?
Label Studio Contact & Social Media
- Website:
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- LinkedIn
- GitHub
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