Autonomous Vehicle Object Detection
Annotated large-scale LiDAR and image datasets for an autonomous vehicle project. Applied Bounding Box and Cuboid annotations to accurately label objects such as vehicles, pedestrians, and road signs. Used Supervisely and Labelbox to ensure precise data labeling, following strict quality control guidelines. The project contributed to improving object detection accuracy in self-driving AI models.