Shubham Pandey

As a dedicated Image Annotator, I specialize in labeling and annotating vehicle license plates from video footage and images. My experience includes using advanced annotation tools like Labelbox and CVAT to produce high-quality datasets for machine learning applications. With a strong understanding of vehicles and a meticulous attention to detail, I ensure that every annotation adheres to precise guidelines, achieving an impressive 98% accuracy in my work.

One of my notable projects involved annotating over 10,000 vehicle license plates using bounding boxes with CVAT, which contributed to the development of a robust dataset for an object detection model. Collaborating with a team, we trained a model that achieved 95% precision in recognizing license plates. Additionally, I developed a traffic monitoring system utilizing YOLOv4 for real-time vehicle detection, processing and annotating 5,000+ frames to enhance model accuracy through dataset augmentation and hyperparameter tuning.