Autonomous Vehicle Image Annotation Project
Annotated over 50,000 street‑scene images to train computer vision models for autonomous driving. Tasks included drawing bounding boxes for vehicles, pedestrians, and traffic signs, as well as semantic segmentation of road surfaces and lane markings. Ensured high annotation accuracy through quality control workflows and cross‑validation. Delivered datasets that improved object detection and scene understanding performance by 15% in downstream models.