Blog

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

Improved search in the new editor

We’re excited to announce some great improvements to help you search within classifications in the new editor. We also included refinements to help you navigate such as grouping objects and new hotkeys.

Labelbox February Updates

Winter is drawing to a close, the birds are out, and here at Labelbox, we’re working on a number of updates to our new Image Editor, including improved search and a Superpixel tool. Let’s dive in!

Announcing $25M Series B led by Andreessen Horowitz to build the Training Data Platform

We’re humbled to announce a new round of venture investment led by Peter Levine, general partner at Andreessen Horowitz. Our early investors: Gradient Ventures, Kleiner Perkins, and First Round Capital also participated.