Subscribe Labeled and annotated data are the pulsating heart of every autonomous system. Machine Learning and AI technologies have enabled tremendous learning capabilities for robots and software relying on vision, and 3D or image labeling is still playing a fundamental, necessary role in their success.
Subscribe Before they’re rolled out to the public, self-driving cars, robots and autonomous systems must be able to reach a detailed level of perception and understanding of the physical world around them. How do we get them to that point? Today, we do so by
At Deepen, we’re focussed on building tools that help autonomous systems — vehicles, robots, and beyond — process sensor data more efficiently and accurately. With our AI-powered tools, teams building such systems can annotate massive amounts of 2D and 3D data gathered from multiple sensor types. We help them to iterate faster and with more reliable data, which makes their systems safer and frees them to focus on innovation..