Camilo Andrés Martínez Martínez

A systematically designed open-access dataset for cross-microscope machine learning benchmarking in complex steel microstructure classification

Abstract The establishment of robust machine learning workflows for microstructure analysis requires datasets that systematically capture the variance introduced by the imaging pipeline. While existing studies in this field predominantly rely on well-curated, homogeneous datasets...