FASHIONPEDIA improves the productivity of fashion designers as it serves as a fashion archive for brainstorming ideas and at the same time a dictionary for all the technical terms to communicate with the development departments. A visual fashion dictionary covering all the technical terms from style to material to production with illustrations and infographics. Textilepedia is an extensive textile dictionary that covers all essential fabric knowledge – from deciphering different types of materials to understanding your finishing options.

Textilepedia covers Fibers, Yarn, Weave, Knits, Lace & Netting, Non-woven & Felting, Hides, Finishings, Patterns & Colors. 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.To ensure a strong fabrication foundation, knowledge of textiles is key. 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. Please report metadata errors at the source library. If there are multiple source libraries, know that we pull metadata from top to bottom, so the first one might be sufficient. pip install 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI ' # step 2: install Fashionpedia API via pip

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 ReadSupport authors: If you like this and can afford it, consider buying the original, or supporting the authors directly. FASHIONPEDIA is a visual fashion dictionary covering all the technical terms from style to material to production with illustrations and infographics. 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. Students will benefit greatly from the content of FASHIONPEDIA. What they get is a fashion library in their hand covering all the common items and details as well as material and manufacturing knowledge.

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 covers History and Styles, Apparel, Detail, Accessories, Textile, Manufacturing, Body & Beauty, Measurement & Care. Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Image and Video Processing (eess.IV) 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.