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

This is a portion of 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 a subset of the data/images used for the manuscript titled 'Transfer-learning and texture-based 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. Those interested in the complete dataset for research purposes can contact the corresponding author ([e-mail]) for more information. This partial 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

本数据集为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建筑工地采集的图像数据集的子集。该子集取自Eyob Mengiste、Karunakar Reddy Mannem、Samuel A. Prieto与Borja García de Soto合著的题为《基于小样本数据集实现建筑材料状态精细化识别的迁移学习与纹理特征方法》的手稿中所使用的部分数据与图像。有意获取研究用完整数据集的人员可联系通讯作者（[e-mail]）以咨询更多详情。本次公开的局部数据库共计208张图像，涵盖7类建筑材料状态，具体分类及样本量如下：CMU墙体（CMU wall）24张、凿毛混凝土（Chiseled concrete）49张、混凝土（Concrete）18张、石膏（Gypsum）26张、钢筋网（Mesh）25张、头道抹灰涂层（First coat plaster）37张、二道抹灰涂层（Second coat plaster）29张。