Automotive Industry

2D & 3D Bounding Boxes: Accurately marking vehicles, pedestrians, road signs, and obstacles in complex environments to support real-time object detection.

Semantic & Instance Segmentation: Pixel-level labeling to differentiate between lanes, roads, vehicles, and background elements, enabling advanced scene understanding.

LiDAR & Point Cloud Annotation: High-resolution labeling of 3D sensor data for spatial recognition and depth perception essential in autonomous navigation.

Polyline & Lane Marking Annotation: Detailed identification of lane boundaries, road edges, and curvatures for lane-keeping and path-planning algorithms.

Keypoint & Landmark Annotation: Precise identification of critical points in vehicles, pedestrians, or traffic signs to train pose estimation and tracking models.

Sensor Fusion Annotation: Integration of camera, LiDAR, and radar data for multi-sensor perception models to ensure reliability across diverse driving conditions.