Abstract: The automated identification of wood surface defects is crucial for maintaining product quality and maximizing resource efficiency in the timber industry. Yet, conventional deep learning ...
Abstract: In this study, we present a multistage learning pipeline that utilizes the ResNet-50 architecture as a static feature extractor for multiclass image classification problems. This methodology ...
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