Scale Launches Sensor Fusion Annotation API For LIDAR and RADAR to Accelerate the Development of Autonomous Vehicles.
By combining human intelligence with machine learning, Scale delivers
pixel-perfect annotations and highly accurate training data for self-driving cars
SAN FRANCISCO, CA – Scale API (Scale.ai) launched its Sensor Fusion Annotation API for LIDAR and RADAR point cloud data, which accelerates the development of perception algorithms for autonomous vehicles. Dozens of leading automobile OEMs and self-driving car companies (such as GM Cruise and Voyage) already use Scale’s comprehensive Image Annotation APIs to produce premium training datasets for their computer vision algorithms.
Scale leverages machine learning, statistical models and human-generated data to deliver best-in-class object recognition, capable of accurately analyzing millions of camera images, LIDAR frames, and RADAR data each month. With Scale’s robust QA processes, humans and machines work in perfect harmony to keep costs low and quality high.
The combination of human and artificial intelligence results in rigorously tested training data that help autonomous vehicles more quickly learn to navigate independently while accurately identifying road markers, vehicles, and other objects in an instant.
Developers can leverage the Sensor Fusion and Image Annotation APIs to tap into several types of annotations:
“The need for training data for self-driving cars is rapidly growing," said Alexandr Wang, CEO of Scale. “We strive to help our customers scale up their training data needs while maintaining quality, thereby becoming a core part of their AI infrastructure. I’m truly excited to see how Scale will enable the future of the autonomous vehicle space, and AI applications more broadly.”
Scale’s comprehensive training data and advanced annotation tools will give manufacturers the tools they need to meet the demands of the 380 million self-driving cars projected to be on the road by 2030.
Video demo of Scale Sensor Fusion API: https://www.youtube.com/watch?v=43lxAFK9l3A&feature=youtu.be
To learn more about Scale’s Image Annotation API for autonomous vehicles, please visit
Scale combines the efficiency of machine learning with the versatility of human Intelligence, providing a simple and easy-to-use platform for training data generation. By providing impeccable quality, high throughput, and cost efficiency, Scale is becoming a core part of their customers’ AI infrastructure (including GM Cruise and Voyage). Scale is headquartered in San Francisco and backed by Accel and Y Combinator. For more information, please visit Scale.ai.