Blog

The case for training data platforms

In a new VentureBeat article, AWS Principal Matt Asay delivers a compelling argument for enterprises adopting AI projects.

4 Things we learned from the state of training data

We held a short poll to gauge how ML teams are handling the training data creation process. Here are four compelling takeaways from the poll.

Software to AI: a paradigm shift

Labelbox CEO and Cofounder Manu Sharma and Andreessen Horowitz’s Peter Levine compare and contrast AI with traditional software.

10 insights from the 2020 customer summit

On December 10th, we had the privilege to host the first Labelbox customer summit, featuring leaders from enterprises like Blue River Technology, Allstate, Orbital Insights, and more.

Labelbox December updates

We’ve expanded model-assisted labeling to support video frame classifications and text annotations, and will add image nested classification support in January. Customers with data in Amazon S3 can now integrate with Labelbox more securely with delegated access.

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.