Labelbox
Training data platform for machine learning teams to create, manage, and improve datasets collaboratively.
Labelbox
Training data platform for machine learning teams to create, manage, and improve datasets collaboratively.
What is Labelbox?
Build and iterate on training data intelligently
Labelbox is the data engine for AI teams. Create high-quality training data faster with model-assisted labeling, manage data operations at scale, and diagnose model errors to improve performance. From startups to Fortune 500, teams use Labelbox to build production-grade AI with better data.
Key Capabilities
What makes Labelbox powerful
Model-Assisted
Accelerate labeling 10x with AI-powered pre-labels and active learning to focus human effort where it matters most
Smart Workflows
Orchestrate complex labeling workflows with quality control, consensus, and review stages built-in
Model Diagnostics
Identify model failures, find edge cases, and understand errors to strategically improve model performance
Collaborative Platform
Enable domain experts, labelers, and ML engineers to work together seamlessly with role-based access
Professional Integration
These capabilities work together to provide a comprehensive AI solution that integrates seamlessly into professional workflows. Each feature is designed with enterprise-grade reliability and performance.
Pricing
Start using Labelbox today
Starting price
Quick Information
Tags
Similar Tools to Explore
Discover other AI tools that might meet your needs
Alteryx
dataData analytics platform that combines data preparation machine learning and advanced analytics in a user-friendly interface.
Akkio
dataNo-code machine learning platform that enables businesses to build predictive models without programming expertise.
BigML
dataMachine learning platform that provides easy-to-use tools for building and deploying predictive models.
Clarifai
imageComputer vision AI platform that provides image and video recognition capabilities for various business applications.
MorphCast Emotion AI
specializedReal-time emotion recognition technology that analyzes facial expressions to understand user emotions and engagement.