Blog

Labelbox March updates

We’ve rolled out updates to improve user experience and help you manage datasets and team members more efficiently.

Announcing Labelbox’s 2021 events

Labelbox has a full calendar of events in 2021, from webcasts to classes to our annual community conference, Labelbox Accelerate.

Accelerate your AI into production with Labelbox

Last week, Labelbox ML engineers led a webcast that detailed some of the basic functionalities of our training data platform.

How an In-Q-Tel strategic investment is helping the National Security community accelerate the adoption of AI

Learn how Labelbox has received a strategic investment from In-Q-Tel, the not-for-profit strategic investor that accelerates the development and delivery of cutting-edge technologies to U.S. government agencies that keep the nation safe.

4 strategies for successful labeling operations

Develop a labeling operation that serves your enterprise ML team with accuracy and efficiency.

Why insurance AI needs a training data platform

Labelbox empowers insurance AI teams to streamline their annotation process with built-in queueing, quality management, ontology management, and more.

Labelbox February updates

We've started the year with updates to improve labeling speed and quality, bolster data security, and make our documentation more robust and easier to navigate.

Simplify your data security with IAM delegated access

Labelbox now supports using Identity and Access Management (IAM) for hybrid cloud customers integrating with AWS S3 storage.

American University of Beirut takes on dietary behavior research with ML

Researchers at the American University of Beirut have embarked on a project International Development Research Centre (IDRC) to build two machine learning models that classify images of food taken by wearable cameras.

Why we raised our Series C round

Our mission is to deliver workflows that accelerate iteration with the most comprehensive and integrated training data platform available.