Research on Clothing Image Recognition and Classification Algorithm Based on Deep Learning

With the rapid development of e-commerce and fashion industry, an efficient clothing image recognition system is very important for commodity recommendation and inventory management. Traditional image recognition methods have limitations in accuracy and efficiency when dealing with complex and changeable clothing images. In this paper, a clothing image recognition and classification algorithm based on deep learning is proposed. In this paper, the ability of Deep Convolutional Neural Network (CNN) to learn image feature expression automatically is used, and the accuracy and efficiency of clothing image recognition are improved by designing optimized CNN model structure and training strategy. The model effectively improves the performance of clothing image classification through multi-scale feature extraction, spatial attention mechanism and appropriate data preprocessing and enhancement technology. Experiments show that this model has achieved high accuracy in clothing image classification tasks, and shows superior performance in comparison with other common image classification algorithms. This study not only promotes the application and development of deep learning in the field of clothing image recognition, but also provides practical technical support for related industries.