Labelbox is a collaborative training data platform empowering teams to rapidly build artificial intelligence applications.
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
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
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.