Label Studio
Open source platform for data labeling across diverse data types with machine learning integration.
About Label Studio
Label Studio is an open source data annotation platform supporting multiple data types and project collaboration. It enables flexible labeling workflows, integrates seamlessly with machine learning backends, and is ideal for training, validating, and fine-tuning AI models across various domains.
How to Use
Install Label Studio via pip, Homebrew, Git, or Docker. Launch the application, import your data, create customizable projects, and start labeling with flexible templates and tags.
Features
- Advanced data management with filtering options
- Supports cloud storage integrations like S3 and GCP
- Customizable layouts and annotation templates
- Supports multiple teams and user roles
- Seamless integration with machine learning pipelines through Webhooks, SDKs, and APIs
- AI-assisted labeling to accelerate annotation
- Handles images, audio, text, video, and time series data
Use Cases
- Computer Vision: Image classification, object detection, semantic segmentation
- Audio & Speech: Classification, speaker diarization, emotion detection, transcription
- Video Annotation: Classification, object tracking, assisted labeling
- IoT and Sensors: Event detection, segmentation, classification
- Multi-Domain Applications: Dialogue analysis, optical character recognition, time series annotation
- Artificial Intelligence: Fine-tuning LLMs, model evaluation, retrieval-augmented generation
- NLP and Document Analysis: Named entity recognition, sentiment analysis, question answering
Best For
Data scientistsAI researchersAnnotation teamsMachine learning engineersData analystsAI developers
Pros
- Supports diverse data formats including images, audio, and video
- Enables collaboration with multiple projects and users
- Highly customizable and flexible interface
- Integrates smoothly with machine learning workflows
- AI-assisted labeling reduces manual effort
- Connects easily to cloud storage solutions
- Open source platform with community support
Cons
- Enterprise features require a paid license
- Setup may need technical expertise
- Custom templates may be necessary for complex projects
Pricing Plans
Choose the perfect plan. All plans include 24/7 support.
Most Popular
Enterprise
Contact sales for pricing
Additional enterprise features and support available
Get StartedFAQs
What types of data can I label with Label Studio?
Label Studio supports images, audio, text, video, time series, and multi-domain data.
How does Label Studio integrate with machine learning pipelines?
It offers Webhooks, a Python SDK, and APIs to manage projects, import tasks, and connect with ML models.
Is Label Studio an open source tool?
Yes, it is an open source platform for data labeling and annotation.
What are the advantages of Label Studio Enterprise?
It provides additional features for team management, security, evaluation, and analytics. Contact sales for details.
Can I use Label Studio for collaborative labeling projects?
Absolutely, it supports multiple users and teamwork for efficient data annotation.