Development of New Models Men's Clothing Taking into Account the Recommendations of Artificial Intelligence
The development of modern technologies makes it possible to attract artificial intelligence to data collection and analysis of fashion trends. The paper sets and solves the problem of recognizing the model features of men's clothing using a neural network. Traditional methods of systematization and classification, expert assessments, Spearman rank correlation, as well as artificial intelligence technologies are used. A training database of images (more than 1500) has been formed, which contains classes of model features of a men's jacket set by experts. The following classes are highlighted: silhouette, the shape of the cut of the sleeve, the shape of the departure of the collar and lapel, the shape and position of the pockets. A convolutional neural network was trained on the basis of control images, on which classes are not allocated. The accuracy of the prediction of each class depends on the number of images in the training sample, the pose of the model, the color of the product. It is proved that it is possible to determine the class in an automated mode and calculate the frequency of its occurrence, which allows you to highlight the fashionable silhouette and shape of structural and decorative elements based on images with collections of upcoming seasons.