Acceso usuarios
Jiaxin Tian, Safial Aqbar Zakaria
With the rapid development of artificial intelligence and deep learning technology, image recognition has become a research hotspot. Among them, image classification algorithms are an important component in the field of image recognition and are widely used in various scenarios. In residential interior design, image classification algorithms based on deep learning can effectively identify interior design styles, thereby improving design efficiency and meeting customer needs. This article will explore the application of image classification algorithms based on deep learning in residential interior design style recognition. The image classification algorithm based on deep learning is a method of using deep neural networks to classify images. The image classification algorithm based on deep learning can be applied to multiple stages of residential interior design style recognition. Firstly, in the early stages of design, image classification algorithms can be used to identify the style of indoor photos provided by customers, in order to understand their needs and preferences. Secondly, during the design process, image classification algorithms can be used to identify the style of design sketches, in order to evaluate the feasibility and rationality of the design. Finally, in the middle and later stages of design, image classification algorithms can be used to identify the style of actual decoration effects, in order to evaluate the quality and effectiveness of the decoration.
