Shoppers count on a frictionless retail experience, especially during checkout. Here’s how AI and technology improve the customer experience in stores.
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.
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.
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.