Hyperspectral images for wood recognition (sapwood and heartwood)

Published: 21 July 2022| Version 2 | DOI: 10.17632/2sfw446fht.2
, Matteo Caffini,


A dataset of hyperspectral images of (eucalyptus) wood boards, for wood recognition (heartwood and sapwood). The following archives include the raw images of boards with corresponding annotated files (20200316_0.rar and 20200316_1.rar), and the extracted dataset (data_132_66.tar.gz), consisting of extracted cuboids of dimension 32x32x320, divided in training and test set respectively. The dimension of the archives is of Given the dimensions of the files, the extracted dataset is available to download directl, Raw datasets 20200316_0.rar and 20200316_1.rar have dimension of 12GB and 16 GB respectively. The archives can be downloaded from the following URLs: Raw data 20200316_0.rar (12 GB): http://fesr1111-h2i.inf.unibz.it.s3-website-eu-west-1.amazonaws.com/20200316_0.rar Raw data 20200316_1.rar (16 GB): http://fesr1111-h2i.inf.unibz.it.s3-website-eu-west-1.amazonaws.com/20200316_1.rar Processed data (70 MB): http://fesr1111-h2i.inf.unibz.it.s3-website-eu-west-1.amazonaws.com/data_132_66.tar.gz The raw data was provided by Microtec Gmbh to the Free University of Bozen-Bolzano, Faculty of Computer Science, in the context of the FESR project Id: 1111, H2I: Hyper-Spectral Images for Inspection Applications, Funding Scheme: EFRE-FESR 2014-2020.



Libera Universita di Bolzano


Computer Vision, Wood, Hyperspectral Imaging, Hyperspectral Image Processing