- Mimarlık Bilimleri ve Uygulamaları Dergisi
- Cilt: 8 Sayı: 2
- Predicting Various Architectural Styles Using Computer Vision Methods
Predicting Various Architectural Styles Using Computer Vision Methods
Authors : Meryem Öztürkoğlu
Pages : 811-828
Doi:10.30785/mbud.1334044
View : 105 | Download : 103
Publication Date : 2023-12-16
Article Type : Research
Abstract :Computer Vision (CV), subfield of artificial intelligence (AI), enables computers to process visual data and recognize objects. CV is widely used in, automotive, food industry and diseases diagnosis. AI achieves this by algorithms. One of the important algorithms based on object detection is YOLO (You Only Look Once), provides more accurate results with high processing speed. The aim of this study is to perform an object detection-based CV project, to determine the structures in given video belong to one of the architectural styles: Gothic, Baroque, Palladian, or Art Nouveau. The study consists of data set creation, data labeling, model creation and model training. Roboflow was used as the data labeling platform and YOLOv8 was used for model building and training phases. At the end of the process, the fact that the model predicts architectural styles with high accuracy in a short time revealed that the model is a successful real-time object detection algorithm, and it was emphasized that CV can be used in the field of architecture and can contribute to other fields related to architecture.Keywords : Computer vision, nesne algılama, YOLO, mimari üslup