High Quality Image Annotation for Autonomous Vehicles
In this project , I contributed to developing AI models for autonomous vehicles by meticulously annotating thousands high -resolution images . Using boundaries boxes ,polygons, and segmentation techniques , I labeled objects such as pedestrians , traffic signs , vehicles , and lane markings to enhance machine learning model accuracy. The project required a deep understanding of annotation guidelines , attention to detail. and efficient use of labeling tools to ensure high-quality datasets. I collaborated with data scientists and engineers to refine annotation strategies and optimize workflow efficiency. The result was well-structured dataset that significantly improved the performance of computer vision models in real-world driving scenarios.