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]]>Tags extracted from Fashion Tagging can indeed be used. These tags can serve as input data, assisting the AI in understanding and generating relevant and accurate product titles and descriptions.
You can select the tonality and the length of the texts, and also set some basic rules for their generation. Contact us via live chat or contact form for details.
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]]>The post What are the differences between Ximilar fashion solutions for recognition, data enrichment and product search? appeared first on Ximilar: Visual AI for Business.
]]>Fashion Search is an all-encompassing solution, wrapping all typical fashion AI services into one. It integrates:
Both Fashion Tagging and Fashion Search include color analysis. The colors are supplied as tags and can serve for filtering and search on your website.
I only need a single fashion AI solution
All our fashion AI solutions can also be employed individually. Examples include product similarity, search by photo (reverse image search), fashion apparel detection, or color-based search.
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]]>The post What colors and which palettes can Ximilar AI extract? What is the format of the results? appeared first on Ximilar: Visual AI for Business.
]]>Dominant product vs. whole image
The product endpoint allows you to extract colors from a single dominant object in an image (product photo), whereas the generic endpoint extracts the dominant colors from the entire image, a mode typically used in stock photography.
Basic color for searching & filtering
This mode identifies one main color of the dominant object out of a total of 16 basic colors. The extracted color can be utilized as an attribute for filtering and searching fashion items.
Pantone palette: detailed color analysis
This mode provides a group of dominant colors, their hex codes, the closest Pantone name, and coverage of the image in %. It is ideal for similarity search (search by color).
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]]>The post How does text-to-image search powered by AI work? Do I need to provide tags? appeared first on Ximilar: Visual AI for Business.
]]>Once you synchronize your image collection to our cloud, our AI retrieves distinct structured information (embeddings) from your images. We do not store your images, only the extracted data. When a user enters a text query, our AI thoroughly analyzes it and presents the user with the most relevant content from your collection.
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]]>The post Can I rename, change or use my own tags in automatic Home Decor & Furniture Tagging? appeared first on Ximilar: Visual AI for Business.
]]>We recommend trying how the service works in our public demo & App and checking the API documentation including full taxonomy. If you do not find the attributes you need, contact us to modify the service to fit your use case.
You can also use our Computer Vision platform to train your own custom categorization and tagging models and combine them with ready-to-use solutions.
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]]>The post What is the difference between AI Recognition of Collectibles and Custom Visual Search features? appeared first on Ximilar: Visual AI for Business.
]]>Custom Visual Search, on the other hand, refers to any custom or customized solution built with our visual search platform. Contact us to discuss your application.
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]]>The post Can your AI identify or find the exact collectible based on a photo? appeared first on Ximilar: Visual AI for Business.
]]>The system works via REST API and is able to scale to hundreds of requests per second.
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]]>The post Which collectibles can AI Recognition of Collectibles recognize? appeared first on Ximilar: Visual AI for Business.
]]>For collectible cards, the service can identify whether it is a Trading Card Game (Pokémon, Magic The Gathering – MTG, Yu-Gi-Oh!, Lorcana, Flesh and Blood and so on) or a Sports Card (Baseball, Basketball, Hockey, Football, Soccer, or MMA), with several additional features (e.g., signature). It can be easily customized to evaluate images based on your criteria. The full taxonomy of the identification results with all supported games and sports can be found in our documentation page.
For comic books, the service can identify more than 1 million magazines, books and manga – via name, title, publisher, issue number and release date.
The service is constantly expanding based on the requests from our customers.
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]]>The post What is AI Recognition of Collectibles and how does it work? appeared first on Ximilar: Visual AI for Business.
]]>The service is fully customizable for different types of collectibles. For example, let’s say you are building an app for the automatic recognition of baseball cards. We would use the basic service and add a precise recognition of different cards based on their images, texts or packaging.
We can add tasks that will recognize edition, year, symbols or texts on the collectible items and provide you with tags, that can be used as keywords for search and filtering of items on your website.
Additionally, this service can be combined with other solutions, for example:
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