These four use cases examine why using drones to collect data makes drone inspections safer, more accurate, and more efficient than manual inspections.
CloudFactory Blog

Recap of our chat with V7 about medical AI data annotation while creating a dataset of COVID-19 X-rays for clinical use and diagnostic AI development.

Delve into the concept of drone autonomy, distinguishing between automation and autonomous operations. Learn about the various levels of drone autonomy and their real-world ...

The real-time use cases for geospatial data are practically limitless, but data-labeling on such an enormous scale remains a major challenge.

Healthcare providers face mounting pressure to increase clinical efficiency and improve patient outcomes. The need for automation and AI is now.

From faster drug discovery to robotic surgery, AI is transforming the healthcare sector with promises of improved patient care and reduced costs.

Autonomous vehicles and AI driver safety tools aren’t affordable for all. Driver Technologies made a free innovative app and model training database.

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.