Autonomous Vehicle Perception Dataset Annotation
I worked on a large-scale autonomous driving dataset annotation project, labeling camera and LIDAR sensor data to enhance self-driving car perception models. My tasks included: Annotating pedestrians, vehicles, lane markings, and traffic signals using bounding boxes and polygon segmentation. 3D LIDAR point cloud segmentation to improve depth perception and object localization. Tracking objects across multiple video frames for motion prediction models. Conducting quality control reviews to ensure annotations met precision standards. Collaborating with machine learning engineers to refine annotation workflows and optimize AI model performance. This project significantly improved the accuracy of perception models used in real-world autonomous driving systems.