Labelbox May updates
Labelbox February Updates
Using model-assisted labeling to speed up annotation efficiency with Labelbox
Recently, a team of researchers at the Institute of Industrial Science, a part of The University of Tokyo, leveraged Labelbox's model-assisted labeling features in order to speed up their machine learning processes by 2-3x.
Live webcast (4/24)- How to build world-class AI applications with Labelbox
We're excited to host our product webinar: How to build world-class AI Applications with Labelbox. The virtual event was held Friday, April 24 at 10am PST and you can check out the full recording here: During the live webcast, we covered: Some best practices for AI in ProductionHow a training
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
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