Fashionpedia: The Visual Dictionary of Fashion Design

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Fashionpedia: The Visual Dictionary of Fashion Design

Fashionpedia: The Visual Dictionary of Fashion Design

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Textilepedia will give you a head start in understanding textiles – and give you an edge in your fashion career. It covers business topics including branding, production, marketing and retailing in an easy to read, visual format. Whether you are an industry insider or a fashion connoisseur, FASHIONPEDIA is all you will ever need to navigate the fashion scene.

Fashionpedia is a new dataset which consists of two parts: (1) an ontology built by fashion experts containing 27 main apparel categories, 19 apparel parts, 294 fine-grained attributes and their relationships; (2) a dataset with 48k everyday and celebrity event fashion images annotated with segmentation masks and their associated per-mask fine-grained attributes, built upon the Fashionpedia ontology. Download a PDF of the paper titled Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset, by Menglin Jia and 7 other authors Download PDF Abstract:In this work we explore the task of instance segmentation with attribute localization, which unifies instance segmentation (detect and segment each object instance) and fine-grained visual attribute categorization (recognize one or multiple attributes). Un libro estilo mini-diccionario visual, para conocer la terminología básica de las prendas de moda.

We focus on presenting information using the most practical mindset possible, making knowledge easy to digest and apply. If there are multiple source libraries, know that we pull metadata from top to bottom, so the first one might be sufficient. We present a new clothing dataset with the goal of introducing a novel fine-grained segmentation task by joining forces between the fashion and computer vision communities. By breaking down lengthy information into short sentences, using step-by-step guides, and highlighting key words, we help you read about complex topics without losing your concentration.

The sketchbook design is a life-saving product for professionals and working at all levels in the fashion industry. Buen libro para iniciarse en la teoría del mundo del diseño de modas, se explica de manera muy clara y gráfica lo más importante como son tipos de prendas, textiles, siluetas, etc. With the introduction of the dataset, we explore the new task of instance segmentation with attribute localization. Fashionpedia consists of two parts: (1) an ontology built by fashion experts containing 27 main apparel categories, 19 apparel parts, 294 fine-grained attributes and their relationships; (2) a dataset with everyday and celebrity event fashion images annotated with segmentation masks and their associated per-mask fine-grained attributes, built upon the Fashionpedia ontology. To illustrate the various aspects of this task, we focus on the domain of fashion and introduce Fashionpedia as a step toward mapping out the visual aspects of the fashion world.The proposed task unifies both categorization and segmentation of rich and complete apparel attributes, an important step toward real-world applications. Whether you’re the head designer or a sales assistant, a 360° understanding of industry can help you tackle issues faced in your day-to-day role. Great reference book for styles in pretty much every article of apparel, hair styles, footwear, accessories, fabric, etc. Not only is it the functional base of all your designs, but the stronger your understanding of textiles, the more you will be able to push the boundaries of creativity. Whether you're an industry insider or a fashion connoisseur, Fashionpedia is all you'll ever need to navigate the fashion scene.

An extensive textile dictionary that covers all essential fabric knowledge from different types of textile, fabric materials to finishing options. From outerwear to underwear, this chapter contains all common fashion items with illustrations and technical terms used in the fashion industry.To facilitate the development of related efforts, we also provide a mapping with categories from existing fashion segmentation datasets.



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