WPS-Dataset: A benchmark for wood plate segmentation in bark removal processing

arXiv:2404.11051v1 Announce Type: new
Abstract: Using deep learning methods is a promising approach to improving bark removal efficiency and enhancing the quality of wood products. However, the lack of publicly available datasets for wood plate segmentation in bark removal processing poses challenges for researchers in this field. To address this issue, a benchmark for wood plate segmentation in bark removal processing named WPS-dataset is proposed in this study, which consists of 4863 images. We designed an image acquisition device and …

abstract arxiv benchmark challenges cs.cv dataset datasets deep learning efficiency however improving processing products quality researchers segmentation type