What is the intuition behind hinge loss geometry?

Hinge loss penalizes points based on their distance from correct margin boundary.

Hinge loss is zero for points correctly classified with margin ≥ 1. It increases linearly for points inside margin or misclassified, enforcing strict margin-based learning rather than probabilistic fitting.