Blog

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.

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.

Labelbox January Updates

We’re kicking off 2020 with lots of exciting updates that range from new capabilities in the image editor to public beta enrollment for our upcoming video editor — the best video labeling tool experience.

Labelbox November Updates

A new label editor, copy & paste functionality, GDPR compliance, and more about the team we're building at Labelbox.

Labelbox October Updates

We've made improvements to our label editor for October including nested questions, an opacity slider for labels, and an improved review metrics overview.

Introducing Python SDK beta

Python is the most common programming language used by data scientists and the machine learning community at large. In order to enable easier workflows for those most comfortable with Python, we set out to create a pip package that you can install and use out of the box.

Labelbox August Updates

August Highlights from the Labelbox Team It's been a busy summer for us at Labelbox. We're excited to share our updates from the past month with you. Image Segmentation We recently launched image segmentation and instances. Image segmentation differs from classification and object detection by allowing you to have fast, pixel-level accuracy for your image labels. We see customers using this feature for computer vision applications that require high accuracy such as autonomous vehicles, medic