Blog

University of Exeter uses ML to reveal how the media impacts human behavior

Researchers at Exeter University have been conducting two studies utilizing machine learning to explore the effects of news and social media on public attitudes and behavior.

Our new look

Today, we are rolling out a brand new logo, meant to better represent the craftsmanship, reliability, and utility you expect from Labelbox.

Labelbox partners with TensorFlow as a leading AI Service Partner to help more enterprises get to production ML

TensorFlow and Labelbox partner to help more enterprises accelerate their ML projects.

5 reasons to attend the Labelbox 2020 Customer Summit

Labelbox is hosting our first ever customer summit on Thursday, December 10th from 9 am to 3 pm PT. Join us!

Teach your ML model to perceive time

At Labelbox, our mission is to build tools that teach machines how to perceive reality and understand and predict patterns in our surroundings.

Automating Computer Vision Annotation: Let Your Model Do The Work.

Discover the 3 basic ways to automate labeling depending on how aware the method is of the data to be labeled.

How Labelbox tackles technical challenges in distributed systems

Last week, our team had the pleasure of appearing on the Software Engineering Daily podcast. CEO Manu Sharma shared some of the challenges that ML teams face — and how Labelbox’s technology can solve them.

Labelbox October updates

This month we’ve rolled out a number of improvements to simplify and speed up your workflows. See how Labelbox is engineered for speed and usability.

Automate labeling with your own model

Model-assisted labeling from Labelbox is the fastest way to improve model performance. Reduce labeling costs by up to 50-70% with your own model.

Using Labelbox to optimize crop production

Learn how Labelbox's training data platform plays a central role in xarvio's ML pipeline to handle the full data annotation process and help farmers innovate through digital farming.