F1 2D is a Python-based pipeline that scrapes official Formula 1 circuit data, converts track maps into high-res binary occupancy grids, extracts centerlines, and generates lane-marked driving maps for simulation. The project integrates computer vision, geometric processing, and machine learning to train autonomous agents to navigate F1 circuits.