Labelbox

AI-Powered Data Labeling Platform

Labelbox is a comprehensive AI-powered data labeling platform for creating, managing, and iterating on training datasets for computer vision and NLP applications. It provides the full infrastructure for the data labeling lifecycle — annotation interfaces, quality management, workforce coordination, model-assisted labeling, and dataset versioning — in a single unified platform used by leading AI teams worldwide.

Model-Assisted Labeling

Labelbox's standout capability is its model-assisted labeling approach: pre-annotation using AI models speeds up human annotators by automatically generating initial labels that humans review and correct, rather than labeling from scratch. This hybrid human-AI approach dramatically reduces the cost and time required to create large, high-quality labeled datasets, and the platform learns from corrections to continuously improve pre-annotation accuracy.

• Model-assisted pre-annotation for faster labeling
• Purpose-built interfaces for image, video, text, and document annotation
• Quality workflow with review, consensus, and auditing
• Dataset versioning and slice management
• Managed labeling workforce or bring your own annotators

For ML Teams Building Production Models

Machine learning teams at companies building production computer vision, NLP, and multimodal AI models use Labelbox to manage their data labeling operations. The platform scales from small teams labeling a few thousand examples to large enterprise operations processing millions of items monthly.