A data annotation assessment is not just about checking for mistakes. It is a systematic process for evaluating the quality, accuracy, and consistency of the labeled datasets used to train your AI models. Think of it as moving beyond simple error checking to building a strategic framework that guarantees your AI learns from reliable, precise […]