Blog

Bring your own models to Labelbox with new custom model integration

Learn about our latest product enhancement that lets you easily integrate custom models and candidates into Labelbox with just a few clicks.

Inversion of control and observability for React codebases

Discover how Inversion of Control (IoC) can help React developers build adaptable and scalable apps. Learn to set up IoC using InversifyJS and MobX.

Monitor and optimize: Boosting data quality with new Labelbox workspace Monitor

Meet Labelbox Monitor, the new built-in visualization and reporting tool to help enterprises' data labeling operations consistently deliver top-tier quality.

Labelbox leaderboards: Redefining AI evaluation with private, transparent, and human-centric assessments

Introducing our groundbreaking Labelbox leaderboards: an innovative, scientific process to rank multimodal AI models that goes beyond conventional benchmarks.

Labeling services at your fingertips: Discover the new Labelbox workflow

Labelbox platform introduces a streamlined workflow for requesting labeling services. Enjoy an easy, consistent experience to request on-demand services.

Improve multimodal evaluations with enhanced arena style experience

Discover the enhanced multimodal chat evaluation experience in the Labelbox platform. A new, ergonomic design helps you create high-quality data, faster.

Inside the data factory: How Labelbox produces the highest quality data at scale

Inside the Labelbox AI data factory: take a look at the key tools, techniques, and processes that ensure top-quality data production, highlighting best practices for measuring and managing data quality.

Faster image segmentation with Meta’s Segment Anything 2.0

Learn about our enhanced image Auto-Segment tool that takes advantage of Segment Anything 2.0, Meta’s latest foundation model release for improved image segmentation.

Product spotlight: Building the data factory for GenAI and frontier models

Labelbox Q2 2024 product spotlight: Building the data factory for GenAI and frontier models

Enhanced synthetic data generation with human-in-the-loop supervision using Llama 3.1 and Labelbox

Learn how Llama 3.1 and Labelbox together enhance your AI development with an end-to-end solution. Leverage our platform's dataset curation, synthetic pre-labels, and human-in-the-loop QA to create sophisticated, domain-specific models efficiently.