Create and manage your own fashion store: decorate your showroom to match your personality, welcome customers and help them find the perfect outfit. The more customers you attract, the more you can expand and improve your shop!
Design the fashion collection of your dreams: pick up the shapes, patterns and materials you need to create thousands of own clothing items. You even get to cut and sew them yourself. Your shop, your rules, your signature look!
Display your clothes, take pictures with supermodels and publish them on social media to attract prestigious clients. If you gather enough attention, you may even be invited to fashion shows in Paris, Milan, Moscow and more international cities!
Display your clothes, take pictures with supermodels and share them to attract prestigious clients. If you gather enough attention, you may even be invited to fashion shows in Paris, Milan, Moscow and more international cities!
We present Visuelle 2.0, the first dataset useful for facing diverse prediction problems that a fast-fashion company has to manage routinely. Furthermore, we demonstrate how the use of computer vision is substantial in this scenario. Visuelle 2.0 contains data for 6 seasons / 5355 clothing products of Nuna Lie, a famous Italian company with hundreds of shops located in different areas within the country. In particular, we focus on a specific prediction problem, namely short-observation new product sale forecasting (SO-fore). SO-fore assumes that the season has started and a set of new products is on the shelves of the different stores. The goal is to forecast the sales for a particular horizon, given a short, available past (few weeks), since no earlier statistics are available. To be successful, SO-fore approaches should capture this short past and exploit other modalities or exogenous data. To these aims, Visuelle 2.0 is equipped with disaggregated data at the item-shop level and multi-modal information for each clothing item, allowing computer vision approaches to come into play. The main message that we deliver is that the use of image data with deep networks boosts performances obtained when using the time series in long-term forecasting scenarios, ameliorating the WAPE and MAE by up to 5.48% and 7% respectively compared to competitive baseline methods. The dataset is available at
Fashion is a global industry. And Kent State University School of Fashion, consistently rated among the best fashion institutions in the world, continues to draw industry notice. Currently, it is the only fashion program in the United States that makes study away experience a compulsory part of the curriculum.
LOS ANGELES
In Los Angeles, students are immersed in a world of fashion while exploring its role in the wider universe of art and design. Field trips include tours of fashion design studios, production facilities and sustainability-based companies, as well as galleries, museums and architectural projects. Students meet leading fashion designers, principals of creative agencies, studio owners and internship coordinators.
SOUTH KOREA
Just an hour from Seoul, Dankook University offers classes that help students gain insight into the industry and the rising popularity of South Korean fashion. Students learn about current trends as well as the history of fashion at nearby museums focused on fashion and art. This immersive program helps students learn about Korean culture and gain a new perspective on the world.
As a designer with 26 London Fashion Week shows under my belt, this biannual event, when the travelling circus of international press and buyers descended upon the city, was the epicentre of my universe.
dafc88bca6