Blog

Product Updates: July 2018

Labelbox adds Auto Consensus, TensorFlow integration and usability features. We are very thankful to all of our passionate users who have helped us continuously improve Labelbox. Over the past few months, we’ve made a number of usability improvements. Now, we are taking a major step to help our users easily create and manage training data. Read on to learn about new features in Labelbox. Auto Consensus Auto Consensus allows you to quantitatively measure the quality of your training data — th

Condé Nast: AI for World-Class Media

Condé Nast is the parent company to over 20 media brands, including Wired, Vogue, Vanity Fair, and Condé Nast Traveler. It’s hard to imagine the extent and richness of a library that combines all the best of fashion, travel, and other media on the planet, let alone the task of managing it. However, one of Labelbox’s customers is doing just that. We spoke with Paul Fryzel, who is directly responsible for the ongoing research, design, and implementation of Condé Nast’s international media platfor

NTConcepts: Rapid training and deployment of an expert AI system

Challenge Developing expert AI systems using Machine Learning (ML) models depends on large amounts of accurate, consistent, and comprehensive training data. Raw data is labeled by experts in the domain of interest to create accurate training data. These labeling tasks must be scaled to produce large amounts of consistent and comprehensive training data. It is challenging, however, to implement a scalable data labeling infrastructure while still enabling rapid experimentation. The key challenge

Product Update: March 2018

Labelbox adds analytics, improved label review and better exports Labelbox is on a mission to enable organizations to easily adapt and train artificial intelligence. Over the past month, we’ve focused our efforts to make Labelbox a better fit inside organizations that are building expert artificial intelligence applications. Read on to learn about new features in Labelbox. Labeling Metrics Project and per-labeler metrics provide you the information necessary to effectively manage the data la