SmartWoodID—an image collection of large end-grain surfaces to support wood identification systems

• DOI: 10.1093/database/baad034
• Publication Date: 2023-05-13T16:14:39Z
• Authors: Ruben De Blaere; Kévin Lievens; Dieter Van Hassel; Victor Deklerck; Tom De Mil; Wannes Hubau; Joris Van Acker; Nils Bourland; Jan Verwaeren; Jan Van den Bulcke; Hans Beeckman
• Keywords: Species Specificity; Artificial Intelligence; Biology and Life Sciences; Original Article; 15. Life on land; General Agricultural and Biological Sciences; Wood; General Biochemistry, Genetics and Molecular Biology; Information Systems; Trees

AbstractWood identification is a key step in the enforcement of laws and regulations aimed at combatting illegal timber trade. Robust wood identification tools, capable of distinguishing a large number of timbers, depend on a solid database of reference material. Reference material for wood identification is typically curated in botanical collections dedicated to wood consisting of samples of secondary xylem of lignified plants. Specimens from the Tervuren Wood Collection, one of the large institutional wood collections around the world, are used as a source of tree species data with potential application as timber. Here, we present SmartWoodID, a database of high-resolution optical scans of the end-grain surfaces enriched with expert wood anatomical descriptions of macroscopic features. These can serve as annotated training data to develop interactive identification keys and artificial intelligence for computer vision–based wood identification. The first edition of the database consists of images of 1190 taxa, with a focus on potential timber species from the Democratic Republic of the Congo with at least four different specimens per species included.Database URL https://hdl.handle.net/20.500.12624/SmartWoodID_first_edition