Scale accelerates the development of AI applications by helping computer vision teams generate high-quality ground truth data. Our advanced LiDAR, video, and image annotation APIs allow self-driving, drone, and robotics teams at companies like Waymo, OpenAI, Lyft, Zoox, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.
Our APIs include:
• Sensor Fusion - the first solution in the market to provide annotation for LiDAR/RADAR/Camera data
• Semantic Segmentation
• 2D Boxes/Polygons
• 3D Cuboids
• Lines & Splines
• Data categorization
Framework + Goal
Humans can influence both the framework and the goal. The framework is the machine learning architecture and algorithm. The goal is the labeled dataset. This is the ceiling for how good a model can ever be. The labeled dataset directly programs the final model. It gets “compiled” into the model via back propagation. As more and more of the software of the world is written with machine learning software, the amount of data required to power these systems will also grow.
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