Autonomous Driving Image & Video Annotation Project
Worked on a large-scale computer vision data labeling project focused on autonomous driving systems. Annotated images and videos for vehicles, pedestrians, road signs, traffic lights, and lane markings using bounding boxes, segmentation masks, and keypoints. Ensured high annotation accuracy through quality checks and consistency validation to meet AI training standards. Followed strict labeling guidelines and contributed to improving model performance for object detection and scene understanding.