semantic segmentation for urban driving scenes
Led a team of 12 annotators to label 50,000+ street-level images for an autonomous driving client. Applied pixel‑level segmentation to classify 25 object classes. Improved inter‑annotator agreement from 82% to 94% through weekly calibration sessions and a custom QA workflow. Delivered clean, ready‑to‑train data .
2025 - 2026