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

Ruben De Blaere, Kévin Lievens, Dieter Van Hassel, Victor Deklerck, Tom De Mil, Wannes Hubau (UGent) , Joris Van Acker (UGent) , Nils Bourland, Jan Verwaeren (UGent) , Jan Van den Bulcke (UGent) , et al.
(2023) DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION. 2023.
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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.
Keywords
General Agricultural and Biological Sciences, General Biochemistry, Genetics and Molecular Biology, Information Systems

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Citation

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MLA
De Blaere, Ruben, et al. “SmartWoodID : An Image Collection of Large End-Grain Surfaces to Support Wood Identification Systems.” DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION, vol. 2023, 2023, doi:10.1093/database/baad034.
APA
De Blaere, R., Lievens, K., Van Hassel, D., Deklerck, V., De Mil, T., Hubau, W., … Beeckman, H. (2023). SmartWoodID : an image collection of large end-grain surfaces to support wood identification systems. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION, 2023. https://doi.org/10.1093/database/baad034
Chicago author-date
De Blaere, Ruben, Kévin Lievens, Dieter Van Hassel, Victor Deklerck, Tom De Mil, Wannes Hubau, Joris Van Acker, et al. 2023. “SmartWoodID : An Image Collection of Large End-Grain Surfaces to Support Wood Identification Systems.” DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2023. https://doi.org/10.1093/database/baad034.
Chicago author-date (all authors)
De Blaere, Ruben, Kévin Lievens, Dieter Van Hassel, Victor Deklerck, Tom De Mil, Wannes Hubau, Joris Van Acker, Nils Bourland, Jan Verwaeren, Jan Van den Bulcke, and Hans Beeckman. 2023. “SmartWoodID : An Image Collection of Large End-Grain Surfaces to Support Wood Identification Systems.” DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2023. doi:10.1093/database/baad034.
Vancouver
1.
De Blaere R, Lievens K, Van Hassel D, Deklerck V, De Mil T, Hubau W, et al. SmartWoodID : an image collection of large end-grain surfaces to support wood identification systems. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION. 2023;2023.
IEEE
[1]
R. De Blaere et al., “SmartWoodID : an image collection of large end-grain surfaces to support wood identification systems,” DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION, vol. 2023, 2023.
@article{01H11BXAQG1GNJMGVJFW1A53ZP,
  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.}},
  articleno    = {{baad034}},
  author       = {{De Blaere, Ruben and Lievens, Kévin and Van Hassel, Dieter and Deklerck, Victor and De Mil, Tom and Hubau, Wannes and Van Acker, Joris and Bourland, Nils and Verwaeren, Jan and Van den Bulcke, Jan and Beeckman, Hans}},
  issn         = {{1758-0463}},
  journal      = {{DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION}},
  keywords     = {{General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems}},
  language     = {{eng}},
  pages        = {{12}},
  title        = {{SmartWoodID : an image collection of large end-grain surfaces to support wood identification systems}},
  url          = {{http://doi.org/10.1093/database/baad034}},
  volume       = {{2023}},
  year         = {{2023}},
}
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