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A unified fashion ontology informed by product descriptions from the internet and built by fashion experts. Our ontology captures the complex structure of fashion objects and ambiguity in descriptions obtained from the web, containing 46 apparel objects (27 main apparels and 19 apparel parts), and 294 fine-grained attributes (spanning 9 super categories) in total. To facilitate the development of related efforts, we also provide a mapping with categories from existing fashion segmentation datasets. The results format is similar to COCO format for object detection with additional attribute_ids filed. See evaluation demo and also loadRes() in Fashionpedia API. A novel task of fine-grained instance segmentation with attribute localization. The proposed task unifies instance segmentation and visual attribute recognition, which is an important step toward structural understanding of visual content in real-world applications. FASHIONPEDIA is a visual fashion dictionary covering all the technical terms from style to material to production with illustrations and info-graphics. It encompasses rich, extensive information and yet is so easy to read. Whether you’re an industry insider or a fashion connoisseur, FASHIONPEDIA is all you’ll ever need to navigate the fashion scene. It is tailor-made for fashion designers, buyers, fashion editors, bloggers and everyone! 1. Extensive Information 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. The proposed task unifies both categorization and segmentation of rich and complete apparel attributes, an important step toward real-world applications.
With the introduction of the dataset, we explore the new task of instance segmentation with attribute localization. The proposed task requires both localizing an object and describing its properties, which unifies instance segmentation (detect and segment each object instance) and fine-grained visual attribute categorization (recognize one or multiple attributes). 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 everyday and celebrity event fashion images annotated with segmentation masks and their associated per-mask fine-grained attributes, built upon the Fashionpedia ontology. Visual analysis of clothing is a topic that has received increasing attention in recent years. Being able to recognize apparel products and associated attributes from pictures could enhance shopping experience for consumers, and increase work efficiency for fashion professionals. Additionally, we also provide metrics with only IoU constraint and only F1 thresholds constraint, for better understanding of the algorithm. See evaluation demo for more details. Result format
Who is it designed for?
From outerwear to underwear, headpieces to shoes, FASHIONPEDIA contains thousands of fashion items with technical terms for brainstorming and reference. 2. Visual Oriented - So Easy to Read
Fashionary is the survival kit for fashion week. It collaborated with fashion brands like Alexander McQueen, Kurt Geiger, Colette, Yazbukey, Henrik Viskov etc…
About PyPI
ABOUT US Founded in 20018, Fashionary publishes the 1 st sketchbook tail-made for fashion designers. The sketchbook design is a life-saving product for professionals and working at all levels in the fashion industry. We designed FASHIONPEDIA with productivity and efficiency in mind. Designers can easily generate ideas by browsing through thousands of items and details in the book. At the same time, communication within the fashion industry will become seamless and stress-free as designers have all the technical terms in their hands. From creating branding to selling to customers, there is plenty to consider when running a fashion company. This manual aims to serve as your very own mentor, reducing the mistakes you make along the way. It’s also the perfect tool for improving your skills across a range of business areas.
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. There are all together 8 chapters in FASHIONPEDIA including fashion history, apparel, details library, accessories, textile, manufacturing, body & beauty, measurement & care. What sets FASHIONPEDIA apart from the others is its visual oriented layout. We understand designers communicate best in visual and images. That’s why we’ve converted all complex textile information into info-graphics and beautiful charts which make the information so easy to read, understand and remember. 3. Compact & Sleek
The Ultimate Textile Bible
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