Blog

Managing a Labeling Team and Building a High-Impact Deep Learning Model for Tree Identification

I participated in an amazing AI challenge through Omdena’s community where we built a classification model for trees to prevent fires and save lives using satellite imagery. Omdena brings together AI enthusiasts from around the world to address real-world challenges through AI models.

The Side of Machine Learning You’re Undervaluing and How to Fix it

Machine learning training data is consistently undervalued. Learn why training data is critical to building a viable machine learning model quickly.

Introducing Image Segmentation at Labelbox

We set out to create a tool that makes image segmentation fast and accurate to make it accessible to more computer vision teams and projects.

Labelbox July Updates

Hello Labelbox community. July brings powerful tools to supercharge your training data development process. Read on to learn more. What New Features Came to Labelbox in July? Webhooks: Control ML Development End-to-End Stream data in and out, connect your models and close the loop to allow machine learning developers, data scientists and data engineers to work in perfect lockstep. Instead of polling the API for static data, webhooks allow subscriptions to data when certain actions are perfo

Labelbox May Updates

Labelbox raises $10M in Series A from Gradient Ventures, Google's AI fund; Model-based pre-labeling; Labelbox Workforce

Labelbox Adapts to Support American Family Insurance Automation

In this article, we discuss why and how we built a new labeling ontology feature to support American Family's use case. Labeling ontology is critical for machine learning applications. It determines what the labeler can label and, in turn, the categories the model will be able to identify.

Announcing $10M Series A Funding for Labelbox

Dear Labelbox Community, Today, we’re excited to share a significant update: we recently secured a Series A funding round of $10 million. Our lead investor for this new phase of our company is Gradient Ventures, Google’s AI-focused venture fund, and we thank them for their support. We also received a repeat investment from Kleiner Perkins and First Round Capital. Anna Patterson, founder and Managing Partner at Gradient Ventures, VP of Engineering at Google, and Square board member, is joining t

Labelbox Speaks on Ethics of AI at O'Reilly's Strata Data Conference

"Is your AI really making good decisions or have you built a deceptive black box that reinforces ugly stereotypes?"  asked  O'Reilly's Ethics Summit. At this Strata Data conference, Labelbox Co-founder & COO, Brian Rieger, gave an answer for reducing bias in machine learning.

Labelbox February Update

February's new feature releases bring you better collaboration, increased project efficiency, and the ability to safely extend authorization to private cloud data.

Model Predictions, Semi-Automatic Labeling and Quality Assurance in Production

Model predictions play two vital roles in a machine learning pipeline. Predictions can be used to accelerate labeling speed as well as test and improve the accuracy of production models.