An evaluation of the capabilities of image-based metal component defect recognition with deep learning techniques
An evaluation of the capabilities of image-based metal component defect recognition with deep learning techniques Michał P. Wójcik, Kacper Pawlikowski, Łukasz Madej AGH University of Krakow, Mickiewicza 30, 30-059 Krakow, Poland. DOI: https://doi.org/10.7494/cmms.2024.3.0839 Abstract: In the era of Industry 4.0, deploying highly specialised machine learning models trained on unique and often scarce datasets is an … Read more