Labelbox | Starter | For teams | per LBU

Labelbox is an advanced data labeling platform that enables teams to create, manage, and optimize training datasets for machine learning applications. By leveraging AI-assisted annotation tools, Labelbox improves efficiency and ensures high-quality labeled data for AI models. Whether working with images, videos, text, or sensor data, users can create structured training datasets through a collaborative and scalable interface.

The platform offers an intuitive labeling environment with automation capabilities, including pre-labeling with AI models and workflow customization. Labelbox also integrates seamlessly with major cloud storage solutions and machine learning frameworks, ensuring smooth data management from collection to model deployment. With powerful analytics, users can monitor annotation quality and optimize dataset performance for better AI outcomes.

One of the standout features of Labelbox is its Human-in-the-Loop (HITL) AI-assisted labeling, allowing teams to combine automation with human expertise to accelerate annotation without compromising accuracy. Additionally, Labelbox supports active learning, which helps models identify uncertain predictions and prioritize data labeling, improving training efficiency.

Designed for enterprises and AI research teams, Labelbox provides scalable infrastructure, secure collaboration, and robust API integrations to support complex AI training pipelines. Whether you’re building computer vision models, NLP applications, or AI-driven automation systems, Labelbox streamlines the data annotation process to drive better machine learning results.