Blog

Labelbox July Updates

We've made video and NER labeling available for customers to trial, and launched our Ontology Manager.

The new Editor is a step forward for scaling production AI

We’ve designed the new Editor from the ground up to be more flexible, scalable, and powerful than the legacy Editor.

Stanford CS230 grad students research the next generation of AI-driven land urban air vehicles

Andrew and Seraj are masters graduate researchers at Stanford University attending CS230 Deep Learning. Their research project focused on identifying suitable areas to land urban air vehicles through satellite imagery.

Labelbox May updates

We have some exciting updates to the new Image Editor for the month of May including improved analytics, real-time labeling, and Benchmarks and Consensus.

All hands on deck: A student team's annual quest to build the world's best autonomous underwater robot with AI

The story of one team's quest to win the annual RoboSub competition using the latest advances in AI and training data as part of their advantage.

Active Learning: Speed up training data cycles with uncertainty sampling

Machine learning engineers often rely on an active learning framework to surface the most informative data to learn from.

Labelbox March & April updates

March and April have been very busy months for us at Labelbox. We’re excited to announce updates to some much-anticipated features including the Video Editor and NLP Editor.

Using model-assisted labeling to speed up annotation efficiency with Labelbox

Recently, a team of researchers at the Institute of Industrial Science, a part of The University of Tokyo, leveraged Labelbox's model-assisted labeling features in order to speed up their machine learning processes by 2-3x.

Live webcast (4/24)- How to build world-class AI applications with Labelbox

We're excited to host our product webinar: How to build world-class AI Applications with Labelbox. The virtual event was held Friday, April 24 at 10am PST and you can check out the full recording here: During the live webcast, we covered: * Some best practices for AI in Production * How a training data platform helps you optimize data labeling costs * How Labelbox helps AI-focused product leaders get to production faster * The specific features that will help you decrease costs, improve a

Introducing the Labelbox NLP labeling editor: sign up for early access

We’re excited to announce the closed beta of our Natural Language Processing (NLP) product: a brand new Named Entity recognition (NER) and text classification labeling system. Labelbox customers are among the largest enterprises that are rapidly growing their machine learning practices and want a unified platform to create and manage all of their training data. A lot of their real-world machine learning problems require both computer vision and natural language processing models to work in conj