ARQGAN - ARCHER Doric greek temples dataset - GAN network training with segmented images

This dataset has been used to develop the ARQGAN-ARCHER project (https://sites.google.com/view/arqgan), a research initiative focused on the reconstruction of architectural heritage through artificial intelligence (funded by: MICIU/AEI FEDER/UE, PID2021-126633NA-I00). It consists of a collection of images representing various examples of Classical Greek temples, generated from 3D models. This research has been carried out in collaboration with architects and engineers from the Polytechnic School at Universidad Francisco de Vitoria. We have used these images in the following articles. Please cite them if you make use of the dataset. https://doi.org/10.1016/j.eswa.2021.11509 https://doi.org/10.3390/app14166854 https://doi.org/10.1007/978-3-031-62963-1_51 https://doi.org/10.1007/978-3-031-36155-5_26 This dataset contains images of 10 Classical Greek temples, generated from 3D models. Some of them are theoretical, but they conform to the requirements of the Doric order. Each case study provides a set of 301 images (1024×768 px), along with two additional sets of images representing different states of ruin. In addition, there is a set of segmented images (flat colors) associated with the textured image dataset, corresponding both to the complete states and to the ruined states. These images differentiate the various architectural elements by color. In total, each case study comprises 9,032 rendered images and 9,032 segmented images. The overall dataset contains 18,064 images.