Labelbox is a collaborative training data platform empowering teams to rapidly build artificial intelligence applications.
This post will describe how to design a system for labeling objects on an image by a human. I will show you how to use React, 2d canvas and Konva framework to make an app that allows you to highlight objects. Also, I will cover some edge cases specific to that task.
Introducing Python SDK beta
Python is the most common programming language used by data scientists and the machine learning community at large. In order to enable easier workflows for those most comfortable with Python, we set out to create a pip package that you can install and use out of the box.
Labelbox August Updates
August Highlights from the Labelbox TeamIt's been a busy summer for us at Labelbox. We're excited to share our updates from the past month with you. Image SegmentationThe differences between object labeling methods.We recently launched image segmentation and instances. Image segmentation differs from classification and object detection by allowing
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.
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
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.