CGAN Assists the Styles & Features Renovation of Street Facade—A case study of Wuyi area in Fujian, China(Training set for machine learning)

This dataset is about the paper "CGAN Assists the Styles & Features Renovation of Street Fa-cade—A case study of Wuyi area in Fujian, China".In the course of the research, we used a large number of vector maps of residential renovation in the Wuyishan area of China for training.Our study proposes a CGAN-based approach. The main purpose is to realize the style migration from local architectural style to village and town building facades, and to provide new design, decoration and restoration of building facades for the village and town architectural style. It has important practical value for the unified style and appearance management of large-scale and multi-building villages and towns.Our sample training images are divided into 3 types: building outline (BEP), functional zoning (FSL), and building facade (BE).Divided into 164 pictures, a total of 492 pictures. The BEP sample uses a grayscale image, and the color is black (R0, G0, B0). In the processing of FSL samples, in order to simplify the data, various elements in the building facade are represented by different colors and presented in the form of color pictures. In this study, 5 colors are used to represent the elements in the facade, that is, the door is red (R255, G99, B128), the window is green (R123, G132, B61), the wall is yellow (R243, G219, B181), and the guardrail is Blue (R3, G172, B213), brown roof (R171, G73, B64).