Clothing Image Classification and Retrieval Algorithm Based on Deep Convolutional Neural Network

Abstract

Aiming at the problem that clothing image retrieval algorithm based on deep learning has low classification accuracy,this paper proposes an improved clothing image classification and retrieval algorithm based on Deep Convolutional Neural Network(DCNN).A clothing image database that contains 100 000 images with 16 attributes,called B_DAT Clothing,is established.Duo to the complex performance of clothing images,it uses DCNN to learn the features adaptively from the B_DAT Clothing Database,design the hash index of CNN’s features for building an efficient attribute-based retrieval model,and realize efficient classification and quick retrieval of Clothing images.Experimental results show that the algorithm can achieve better performance in terms of classification and retrieval than the traditional visual feature classification algorithms.