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.
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.
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. ...
Image annotation holds great promise for these centuries-old industries that rely heavily on visual data and are ripe for AI innovation.
CloudFactory and V7 Labs annotated chest x-rays and trained ML models to identify issues including COVID-19. The dataset is now available for research.