⚙️Learning of Designer Styles
One of the most popular usages of Deep Learning is classification. Fashionic AI aims to learn legendary designers' styles and accurately predict whose style clothing belongs to. This will bring a whole new aspect to the Fashion world. Inspirest™ models on the metaverse by learning in-depth the decision, choice, thinking, and design characteristics of stylists, fashion designers, and artists living from the past to the present. Artificial intelligence models will enable the creation of designs that exceed the limits of imagination and the stylists to produce outside the laws of physics and independent of time. Fashionic AI will allow the pioneers of the fashion world to bring the Metaverse to life. In the Inspirest™ Mobile App, users' physical characteristics, tastes, and interactions are processed with stylists' suggestions and fashion teachings, providing user-based style and product recommendation services.
There has been much study on classification in Fashion Analyzes. Classification clothing according to predefined styles using Deep Learning Models is one of the most popular methods. CNN(Convolutional Neural Network) or derived models are most commonly used in fashion style classification with images. Especially models like VGG, Xception, and Inception, which are proven to work successfully on Image Classification, are widely preferred. Style prediction using these models can reach 85% accuracy [14,15].
Another classification method is attribute classification. Items are classified according to predefined attributes, and attributes are each item's characteristics and objective qualities. Each item can have multiple attributes; that is why it is usually a multi-label task. For example, a dress (category) can have color, pattern, material, price, texture, style, etc., as attributes. CNN and derived CNN models are primarily used in attribute classification with a prediction accuracy of 90% [16].
Classification via Designer Style is a novel area for AI. Fashionic AI will use the best style classification and attribute classification to classify Designer Styles accurately. In Fashionic AI for learning designers, multiple Deep Learning Models like CNN, VGG, Xception, Inception, ResNet will be tested and used to get the best accurate classification model.
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