ArticleDatabase : the journal of biological databases and curation2023
SmartWoodID-an image collection of large end-grain surfaces to support wood identification systems.
Article in Database : the journal of biological databases and curation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- The Tervuren xylarium Wood Density Database (TWDD).Scientific data · 2026Article
- "Touch&Play" Wood Typification by the MasSpec Pen.Journal of mass spectrometry : JMS · 2025Article
- Enabling high-throughput quantitative wood anatomy through a dedicated pipeline.Plant methods · 2025Article
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11 authors.
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Abstract
Wood 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.
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