Labeler unified taxonomy
In my recent project, I have been actively involved in classifying objects for autonomous vehicles using both image and LiDAR sensor data. This work requires a meticulous approach to accurately label various elements within the dataset, such as pedestrians, vehicles, traffic signs, and road obstacles. By leveraging my skills in data entry and technical understanding from my background in Networking and Cyber Security, I ensure that each data point is precisely annotated, contributing to the development of reliable and efficient self-driving car systems. The project involves working with cutting-edge technologies and collaborating with a multidisciplinary team to enhance the accuracy and functionality of autonomous driving models. My role includes managing large volumes of data, ensuring consistency in labeling, and utilizing advanced tools to refine the data annotation process. This hands-on experience has not only deepened my knowledge of AI training data but also highlighted my abil