Shoppers count on a frictionless retail experience, especially during checkout. Here’s how AI and technology improve the customer experience in stores.
Image Annotation
Geospatial data is fueling innovation in many sectors. Read on if your business needs to scale its data labeling operations while maintaining quality.
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.
The real-time use cases for geospatial data are practically limitless, but data-labeling on such an enormous scale remains a major challenge.
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.
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.
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.
AI is transforming healthcare by arming practitioners with more information at the right times to make better decisions and fewer errors. Here’s how image annotation makes it ...