Autonomous vehicles rely on precise training data to understand their surroundings and make safe decisions. Manual annotation plays a critical role in improving perception systems, reducing errors, and ensuring road safety. This article explains how high-quality human-led annotation enhances the accuracy and reliability of self-driving vehicle models.
