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

本数据集由纽约大学阿布扎比分校（NYUAD）S.M.A.R.T建筑研究小组从校园内一处建筑工地采集所得。该数据集配套Eyob Mengiste、Karunakar Reddy Mannem、Samuel A. Prieto与Borja García de Soto合著的题为《小样本场景下建筑材料状态精细化识别的迁移学习与纹理特征》的学术手稿使用。若有任何咨询事宜，请联系通讯作者（[e-mail]）。

本数据库总计包含208张图像，涵盖7类建筑材料状态，具体分类及对应图像数量如下：
混凝土空心砌块（CMU）墙体——24张，
凿毛混凝土——49张，
素混凝土——18张，
石膏——26张，
钢筋网片——25张，
首层抹灰——37张，
二层抹灰——29张