ADAS data annotation is essential for developing reliable Advanced Driver Assistance Systems that support features like lane detection, collision avoidance, and pedestrian recognition. By accurately labeling o**ects in images and videos—such as vehicles, road signs, and lane markings—annotation teams enable machine learning models to understand complex driving environments. High-quality annotated datasets help improve the performance and safety of ADAS features across various conditions and geographies. A leading global provider supports this need with scalable annotation services tailored for automotive AI. With expertly annotated ADAS data, developers can build smarter, safer, and more responsive autonomous and semi-autonomous driving technologies.