CloudFactory Blog

Autonomous vehicles require continuous training to ensure they operate safely. Here’s how active learning can improve that process.

Discover the autonomous vehicle training conundrum. Learn about machine learning for autonomous cars and the challenges of vehicle data collection.

From localized bias to difficulties annotating video and radar data, here are some of the biggest challenges facing the future of autonomous vehicles.

In the Rise of Autonomous Vehicles the world of transportation and logistics is rapidly changing. Here are 3 AV innovators you should know about.

Can AI help us in predicting the future with computer vision? Here's how computer vision can use today’s data to model tomorrow’s outcomes.

Image annotation is an important task when training a computer vision model. Here are common misconceptions about image annotation for computer vision.

Quality data is the lifeblood of great computer vision applications. Here are 6 best practices for creating your own custom data sets for computer vision.

Great computer vision applications require a lot of quality visual data. Here's how you can acquire quality data sets for computer vision applications.

Agriculture data is complex. Annotating agtech data often requires help from agronomists. We help Hummingbird Tech overcome that AI product development hurdle.

AI is transforming healthcare; it arms practitioners to make better decisions & fewer errors. Here’s how image annotation in Medical AI makes it possible.

Images and videos are both means to an end to annotate visual data. Each may have its own unique process but in the end individual frames are being annotated on a meta data level. ...

CloudFactory and V7 Labs annotated chest x-rays data sets and trained ML models to identify health issues for COVID-19 research.

Keep these 6 important features of data annotation tools in mind to find the right fit for your AI and machine learning project.

Supervised learning requires a lot of labeled data. Here’s what it takes to design a high-performance data labeling pipeline for machine learning.

Even in uncertain times, you’re swimming in an ocean of data. How you are processing data that powers AI and use that data will determine the future of your business.

Data scientists at Hivemind created 3 data labeling tasks and hired 2 teams to complete them. The differences in data accuracy, speed, and cost may surprise you.