We are excited to announce a new offering that bundles our professionally managed workforce with a market-leading annotation platform for one price.
CloudFactory Blog
Apple just introduced its newest iPhone models, which feature a LiDAR scanner. Here’s how innovators use LiDAR to train machines to interpret the visual world.
Autonomous vehicles and AI driver safety tools aren’t available or affordable for all. Driver Technologies created a free app and model training database to boost safety and ...
Autonomous vehicles require continuous training to ensure they operate safely. Here’s how active learning can improve that process.
Autonomous vehicles are among the most data-hungry machines the world’s ever seen. Here’s a look at data collection techniques and challenges.
From localized bias to difficulties annotating video and radar data, here are some of the biggest challenges facing the future of autonomous vehicles.
Autonomous vehicles are changing the world of transportation and logistics. Here are 3 AV innovators you should know about.
Training a car to drive itself is a heavy lift. Here’s a closer look at how it works and how people are involved in the process.
Building and maintaining relationships while working remotely calls for creativity. We use pod socials to connect globally at CloudFactory.
Can AI help us predict the future? Here are some fascinating ways computer vision can use today’s data to model tomorrow’s outcomes.
Image annotation is one of the most important tasks when training a computer vision model. Here are common misconceptions to overcome first.
We are delighted to welcome tech veteran John Cotterell to the CloudFactory Board of Directors. CEO Mark Sears talked with John about his new leadership role.
CloudFactory is a great place to be because our teams work on some of the world’s most innovative technologies and because we’re on a mission: to create work for one million ...
Quality data is the lifeblood of great computer vision applications. Here’s a closer look at best practices for creating your own custom data sets.
Great computer vision applications require quality visual data, and a lot of it. Here are your options when you need data.
Data preparation is the most time-consuming part of machine learning. Here are a few tips for getting it right.
