Autonomous Vehicles
AI technology is hastening the development of self-driving cars. In fact, according to research by Google, AI-powered cars already surpass human drivers when it comes to safety, as AI allows self-driving cars to adapt immediately to changing conditions and learn from new situations. Currently, we are providing some car manufacturers with services to integrate AI technology in future product offerings.
Use Cases of Self-Driving Cars
Use Cases of Self-Driving Cars
Training Data for self-driving cars by
LIDAR Annotation
Understanding the Road : Learning Spiral creates high-quality training and validation data to enable automotive companies to develop with confidence computer vision and machine learning models that reliably and safely power autonomous vehicles.
Video annotation
We use video annotation to guide autonomous vehicles The machine learning models need to understand the content of images and videos. Data scientists need large volumes of accurately annotated data to serve as the ground truth, to train machine learning models for image and video recognition.