In 2017, an apparel classification model was developed to assist retailers in identifying the most prominent clothing item in an image for purposes like automatic tagging, but it often missed other garments. To address this, a new apparel detection model has been introduced, designed to locate and identify multiple items of clothing in a photo, enhancing efficiency for retailers by streamlining the labeling process in images containing several articles of clothing. This model proves beneficial in accurately tagging group photos and improving search engine performance, thereby aiding potential customers in finding products. The detection model also aims to evolve by recognizing a broader range of clothing, including those from diverse cultures, and providing more detailed descriptions. Users are encouraged to log in or create an account to test this new model and explore its capabilities.