Dataset of images for model development using transfer-learning and texture features recognition of the conditions of construction materials with small datasets

This is the dataset of the images collected by the S.M.A.R.T Construction Research Group at NYUAD from a construction site on campus. The dataset contains the images used for the manuscript titled 'Transfer-learning and texture features for detailed recognition of the conditions of construction materials with small datasets' by Eyob Mengiste, Karunakar Reddy Mannem, Samuel A. Prieto and Borja García de Soto. For any inquiries, contact the corresponding author ([e-mail]).

This database contains a total of 208 images for 7 construction material conditions broken down as follows:
CMU wall - 24 images,
Chiseled concrete - 49 images,
Concrete - 18 images,
Gypsum - 26 images
Mesh - 25 images
First coat plaster - 37 images
Second coat plaster - 29 images

本数据集由纽约阿布扎比纽约大学（NYUAD）的智能建筑研究小组从校园施工现场收集而来。数据集收录了用于撰写标题为《小数据集下建筑材料详细识别的迁移学习和纹理特征》的论文中使用的图像，该论文作者为Eyob Mengiste、Karunakar Reddy Mannem、Samuel A. Prieto以及Borja García de Soto。如有任何疑问，请联系对应作者（[e-mail]）。

该数据库共计包含208张图像，分别用于7种建筑材料条件，具体分布如下：

CMU墙体 - 24张图像，

凿刻混凝土 - 49张图像，

混凝土 - 18张图像，

石膏 - 26张图像，

网格 - 25张图像，

第一层抹灰 - 37张图像，

第二层抹灰 - 29张图像。