  We present MMFashion, a comprehensive, flexible and user-friendly open-source
visual fashion analysis toolbox based on PyTorch. This toolbox supports a wide
spectrum of fashion analysis tasks, including Fashion Attribute Prediction,
Fashion Recognition and Retrieval, Fashion Landmark Detection, Fashion Parsing
and Segmentation and Fashion Compatibility and Recommendation. It covers almost
all the mainstream tasks in fashion analysis community. MMFashion has several
appealing properties. Firstly, MMFashion follows the principle of modular
design. The framework is decomposed into different components so that it is
easily extensible for diverse customized modules. In addition, detailed
documentations, demo scripts and off-the-shelf models are available, which ease
the burden of layman users to leverage the recent advances in deep
learning-based fashion analysis. Our proposed MMFashion is currently the most
complete platform for visual fashion analysis in deep learning era, with more
functionalities to be added. This toolbox and the benchmark could serve the
flourishing research community by providing a flexible toolkit to deploy
existing models and develop new ideas and approaches. We welcome all
contributions to this still-growing efforts towards open science:
https://github.com/open-mmlab/mmfashion.
