Labelbox
The fastest way to build enterprise-grade AI.
Overview
Labelbox is a comprehensive data platform for AI development, designed to help teams build and operate production-grade machine learning systems. It provides tools for data annotation across various data types including images, video, text, and audio. The platform emphasizes collaboration, quality control, and integration with the broader MLOps ecosystem, featuring model-assisted labeling and performance monitoring to accelerate the AI development lifecycle.
✨ Key Features
- Multi-modal data annotation (Image, Video, Text, Audio, Geospatial)
- Model-assisted labeling
- Data management and curation
- Quality assurance workflows (reviews, consensus)
- Model error analysis and diagnostics
- Python SDK and API for automation
🎯 Key Differentiators
- Strong focus on data-centric AI and model diagnostics
- Integrated platform for labeling, cataloging, and debugging data
- Flexible and developer-friendly with a robust Python SDK
Unique Value: Provides a unified platform to manage, label, and improve training data, enabling teams to build better AI models faster by focusing on the data itself.
🎯 Use Cases (5)
✅ Best For
- Annotating medical imagery for diagnostic AI
- Labeling satellite imagery for agricultural and defense applications
- Classifying customer support tickets for NLP models
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Users needing a large, fully-managed human workforce for labeling
- Individuals or very small teams looking for a simple, free tool
🏆 Alternatives
Offers more comprehensive data management and model diagnostic features compared to tools that only focus on annotation.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
Free tier: Limited to 5,000 labels and basic features.
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