UruDendro, a public dataset of cross-section images of Pinus taeda

arXiv:2404.10856v1 Announce Type: new
Abstract: The automatic detection of tree-ring boundaries and other anatomical features using image analysis has progressed substantially over the past decade with advances in machine learning and imagery technology, as well as increasing demands from the dendrochronology community. This paper presents a publicly available database of 64 scanned images of transverse sections of commercially grown Pinus taeda trees from northern Uruguay, ranging from 17 to 24 years old. The collection contains several challenging features for automatic …

abstract advances analysis arxiv community cs.cv database dataset detection features image images machine machine learning paper public q-bio.qm ring technology tree type