In the world of artificial intelligence (AI) and machine learning (ML), creating high-performing models depends heavily on one crucial factor: data quality. Two essential processes for building quality datasets are data curation and data labeling. While both are critical for successful AI projects, they serve distinct purposes and play different roles in preparing datasets. Data […]