By proposing a novel data exchange protocol, DDOIF project aims at linking the fashion industry and AI companies. In fact, DDOIF provides a common language that all industries involved in fashion can use. The project is part of the Elite-S project and is hosted at the ADAPT Centre, Trinity College Dublin. Entitled “Digital Data Organization and Exchange in Fashion (DDOIF)”, the project aims to develop a data exchange protocol that defines the terminology and vocabulary of fashion data. The protocol contains the ontologies of fashion data, descriptions, categories, subcategories, anatomy, characteristics, colors, patterns, etc. Fashion companies that adopt DDOIF will gain a competitive market advantage as the protocol / standard will facilitate the development of powerful applications. Applications that can make use of DDOIF may include, but not limited to, counterfeit counterfeit and brand forensics, archival and retrieval, fashion classification, the next-generation recommender systems, personalized fashion, personalized online shopping, etc. DDOIF can help delivering a more effective and superior customer shopping experience.

More info:

Preprint: Towards an Interoperable Data Protocol Aimed at Linking the Fashion Industry with AI Companies (https://arxiv.org/abs/2009.03005)

The ontologies of fashion data: DDOIF - Digital Data Organization and Exchange in Fashion (https://github.com/morawi/ddoif)

DDOIF is pronounced this way: /diːdɔɪf/