Automatic Clothing Style Identification and Mining Based on Computer Vision Algorithm

This article mainly studies the use of computer-aided design (CAD) technology in clothing style identification and explores how to combine CAD technology with a computer vision algorithm to improve the accuracy and efficiency of identification. In this article, an automatic clothing style recognition system is developed, including image preprocessing, feature detection, classifier design, and other modules. Moreover, data mining (DM) technology is used to analyze the identified clothing style data deeply and extract valuable information. In order to verify the performance and effect of the automatic clothing style recognition system, a series of experiments are designed in this article. After analyzing and comparing the experimental results, it has been discovered that the system excels in terms of recognition accuracy, MAE, and processing speed. These excellent performances make this system have high value and potential in practical application. Moreover, the system has been highly evaluated by users in terms of usability, functional satisfaction, response speed, interface aesthetics, stability, and reliability. Users think that the system interface is intuitive, easy to operate, fully functional, and stable, and at the same time, the system responds quickly, the visual experience is pleasant, and the performance is excellent. The findings confirm the system’s efficacy and practicality, laying the groundwork for future enhancements and optimizations. © 2024, CAD Solutions, LLC. All rights reserved.