Hyperspectral images for wood recognition (sapwood and heartwood)

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.

本数据集为用于木材识别（区分心材（heartwood）与边材（sapwood））的桉树（Eucalyptus）木板高光谱图像（hyperspectral images）数据集。
其中包含两类归档资源：一是带有对应标注文件的木板原始图像归档（20200316_0.rar与20200316_1.rar）；二是提取后的数据集data_132_66.tar.gz，该数据集由尺寸为32×32×320的提取得到的三维长方体图像块（cuboids）构成，并分别划分为训练集与测试集。
原始数据集20200316_0.rar与20200316_1.rar的大小分别为12GB与16GB，提取后的数据集可直接下载。
可通过以下链接获取各类归档文件：
原始数据20200316_0.rar（12 GB）：http://fesr1111-h2i.inf.unibz.it.s3-website-eu-west-1.amazonaws.com/20200316_0.rar
原始数据20200316_1.rar（16 GB）：http://fesr1111-h2i.inf.unibz.it.s3-website-eu-west-1.amazonaws.com/20200316_1.rar
预处理后的数据（70 MB）：http://fesr1111-h2i.inf.unibz.it.s3-website-eu-west-1.amazonaws.com/data_132_66.tar.gz
本原始数据由Microtec Gmbh提供给博尔扎诺自由大学（Free University of Bozen-Bolzano）计算机科学学院，相关工作依托FESR项目编号1111、H2I项目"面向检测应用的高光谱图像"以及EFRE-FESR 2014-2020资助计划开展。

搜集汇总

背景与挑战

背景概述

这是一个用于木材识别（区分心材和边材）的高光谱图像数据集，包含桉树木板的原始图像和已提取的32x32x320维度立方体数据，分为训练集和测试集。数据集由博尔扎诺自由大学提供，适用于计算机视觉和高光谱成像研究，采用CC BY NC 3.0许可证。