Label Studio is an open source annotation platform supporting multiple data formats, projects, and team members on a single system. It enables customizable labeling workflows and seamlessly connects with machine learning backends through APIs and webhooks. Ideal for dataset preparation, model validation, and LLM refinement.
Features
• Support for multiple data types (images, audio, text, video, time series)
• Adjustable templates and interface layouts
• ML/AI pipeline connections via Webhooks, Python SDK, and API
• Intelligent labeling assistance powered by ML
• Cloud storage integration (S3, GCP)
• Advanced filtering and data management tools
• Multi-user and multi-project management
Application
• Computer Vision: Image classification, object detection, semantic segmentation
• Audio & Speech: Classification, speaker diarization, emotion recognition, transcription
• NLP & Documents: Classification, entity recognition, question answering, sentiment analysis
• IoT & Sensors: Classification, segmentation, event recognition
• Cross-Domain: Dialogue processing, optical character recognition, time series analysis
• Video: Classification, object tracking, automated labeling support
• Generative AI: LLM fine-tuning, LLM evaluation, RAG system assessment
Price
Website, Contact for Pricing, Free, Community Edition Free to use