Covering everything you need to know in order to build AI products faster.
Labelbox•November 18, 2021
Announcing Labelbox on Databricks Partner Connect
Today, we are thrilled to announce that Labelbox is a launch partner in the Databricks Partner Connect portal.
Labelbox•November 17, 2021
Labelbox November updates
We’ve enhanced our annotation capabilities with editors to support new data types, improved support for active learning workflows, and other key improvements.
How to optimize your entire ML pipeline
Labelbox has partnered with Snowflake, Databricks, DataRobot, and Google Cloud Platform (GCP) to ensure seamless connections as teams store and manage data as well as train and deploy their models.
Labelbox•September 29, 2021
Labelbox lands in London: The key to a performant ML model lies within your training data
In a data-centric approach to machine learning, no element is more essential in your ML endeavors than creating and maintaining high-quality training data. Many ML teams fail due to two common but critical mistakes.
Manu Sharma•September 28, 2021
Labelbox now supports integrations with all major cloud providers + HIPAA compliance
Announcing HIPAA compliance and data integrations with all major cloud providers: Amazon AWS, Google Cloud, and Microsoft Azure.
Labelbox•September 9, 2021
Summer 2021 Product Updates
We've released a host of updates to all label editors, unlocking more advanced use cases for video, text, image, and tiled imagery, and have further improved the capabilities of our SDK.
Labelbox•August 25, 2021
New text editor features: Annotation relationships + issues & comments
We’re excited to introduce our updated text editor, which makes it easy for teams to collaborate and use Labelbox for more complex NLP use cases.
Labelbox•August 9, 2021
New Labelbox office is now open in London
Our growing European team will be focused on serving customers on the continent.
Labelbox•June 10, 2021
Simplify workflows with the Labelbox SDK
It’s now easier than ever to get started with our SDK thanks to simplified documentation and a set of new tutorials.
Labelbox•May 25, 2021
Announcing the Labelbox connector on Databricks: Productionizing unstructured data for AI and analytics at scale
Labelbox has recently launched a connector between Databricks and Labelbox — the LabelSpark library — so teams can connect an unstructured dataset to Labelbox. With LabelSpark, teams can programmatically set up an ontology for labeling and return the labeled dataset in a Spark DataFrame.
