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Label Studio

Flexible open source platform for annotating diverse data types with ML capabilities.

Description

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
Traffic
239.5K
Growth
19.3K
Growth Rate
8.76%
Price
Website, Contact for Pricing, Free, Community Edition Free to use
Ranking
2406

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