Blog

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.

How can framing your problem help you build a good dataset for it?

Have you ever shopped on an absolutely awful e-commerce site? Do you remember why you hated it? Perhaps: * You couldn’t find the item you were searching for. * Browsing through the site’s inventory was slow and frustrating. * The checkout process took way too long. Anyone who’s used an e-commerce site has dealt with these problems. When it comes to e-commerce problems, companies like Edgecase, are leveraging AI to create better product recommendations [https://www.wordstream.com/blog/

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.

Asking good questions isn’t the first step to building enterprise ML, it’s step 0

When email first came on the scene, it was revolutionary. People were excited to try a faster method of communicating with friends and business contacts. But of course, someone quickly found a way to ruin it. Spam (unwanted bulk emails, not the canned meat product) started popping up in huge numbers, slowing down network speeds and people’s productivity. If we wanted to improve internet speeds, we’d have to identify spam before it clogged up inboxes. Enter machine learning. Trained machine lea

Labelbox November Updates

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

Case study: image labeling with JavaScript

This post will describe how to design a system for labeling objects on an image by a human. I will show you how to use React, 2d canvas and Konva framework to make an app that allows you to highlight objects. Also, I will cover some edge cases specific to that task.

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.