Healthcare providers face mounting pressure to increase clinical efficiency and improve patient outcomes. The need for automation and AI is now.
From data collection to training and deploying working models, the development of medical AI comes with many important challenges and opportunities.
We are excited to announce a new offering that bundles our professionally managed workforce with a market-leading annotation platform for one price.
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.