SemanticKITTI

SemanticKITTI is a large, detailed dataset collected from a self-driving car navigating urban environments. It includes 3D point cloud data—imagine millions of tiny dots representing objects and surroundings—and labels that identify these points as buildings, cars, pedestrians, and other objects. Researchers use it to teach autonomous vehicles how to understand and interpret complex real-world scenes accurately. This dataset helps improve machine perception, enabling cars to recognize and respond safely to their environment.