Wearable Item Classification Using Machine-Learned Image Normalization (DEAL 541)

Disclosed is a smart fashion product image classification system that obtains wearable items in a first target language using a machine-learning-based image classification protocol and displays each associated graphical image with corresponding textual metadata. The system compares a target-language-specific list of item-related terms with textual metadata to generate a relevant textual snippet in the first target language. Also disclosed are techniques to index the wearable item images so that the first functional module applies a wearable item relevance protocol so that the first raw content is prioritized over the second raw content based on a detection module. Further disclosed are techniques to display the matching content items. The technology may be implemented in wearable item classification systems, personal styling systems, fashion trend identification systems, etc.