Ready-to-use Image Recognition Archives - Ximilar: Visual AI for Business https://ximilar.test/faq/ready-to-use-recognition-faq/ VISUAL AI FOR BUSINESS Wed, 28 Aug 2024 10:22:29 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 https://www.ximilar.com/wp-content/uploads/2024/08/cropped-favicon-ximilar-32x32.png Ready-to-use Image Recognition Archives - Ximilar: Visual AI for Business https://ximilar.test/faq/ready-to-use-recognition-faq/ 32 32 Can product titles and descriptions be automated? Can I use the tags generated by Ximilar for this purpose? https://www.ximilar.com/blog/faq-ximilar/can-product-titles-and-descriptions-be-automated-can-i-use-the-tags-generated-by-fashion-tagging-for-this-purpose/ Wed, 14 Feb 2024 13:28:26 +0000 https://www.ximilar.com/?post_type=faq&p=15360 The generation of product titles and descriptions can be easily automated with Ximilar AI. 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, […]

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The generation of product titles and descriptions can be easily automated with Ximilar AI.

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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What are the differences between Ximilar fashion solutions for recognition, data enrichment and product search? https://www.ximilar.com/blog/faq-ximilar/what-is-the-difference-between-fashion-tagging-and-fashion-search-or-other-fashion-solutions-powered-by-ai/ Wed, 14 Feb 2024 10:18:24 +0000 https://www.ximilar.com/?post_type=faq&p=15350 Fashion Tagging labels your fashion items, assigning categories (e.g., skirts), subcategories (e.g., A-line skirts) and tags (for color, design, pattern, length, rise, style…). By default, it provides data for one main object in an image. Endpoint meta can also provide tags for the photography background, scene, or body part in the fashion image. Fashion Search […]

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Fashion Tagging labels your fashion items, assigning categories (e.g., skirts), subcategories (e.g., A-line skirts) and tags (for color, design, pattern, length, rise, style…). By default, it provides data for one main object in an image. Endpoint meta can also provide tags for the photography background, scene, or body part in the fashion image.

Fashion Search is an all-encompassing solution, wrapping all typical fashion AI services into one. It integrates:

  • Fashion tagging, including Dominant colors
  • Object detection for precise labelling and search of individual items
  • Visual Search, recommending similar items from your collection

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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What colors and which palettes can Ximilar AI extract? What is the format of the results? https://www.ximilar.com/blog/faq-ximilar/what-range-of-colors-and-within-which-palettes-can-ximilar-ai-extract-what-is-the-format-of-the-results/ Tue, 13 Feb 2024 15:40:01 +0000 https://www.ximilar.com/?post_type=faq&p=15343 We offer multiple options for dominant color extraction that you can select from. The outcome is provided in a structured format, usually JSON. 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 […]

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We offer multiple options for dominant color extraction that you can select from. The outcome is provided in a structured format, usually JSON.

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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How does text-to-image search powered by AI work? Do I need to provide tags? https://www.ximilar.com/blog/faq-ximilar/how-does-text-to-image-search-powered-by-ai-work-do-i-need-to-provide-tags/ Thu, 25 May 2023 12:36:59 +0000 https://www.ximilar.com/?post_type=faq&p=13521 The text-to-image search eliminates the need for metadata like tags (keywords). It is powered by AI able to understand both language and complex visual characteristics of images. 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 […]

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The text-to-image search eliminates the need for metadata like tags (keywords). It is powered by AI able to understand both language and complex visual characteristics of images.

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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How fast is the Text-to-image search by Ximilar? https://www.ximilar.com/blog/faq-ximilar/how-fast-is-the-text-to-image-search-by-ximilar/ Thu, 25 May 2023 11:10:13 +0000 https://www.ximilar.com/?post_type=faq&p=13519 The search itself happens in a matter of milliseconds. This system can handle hundreds of requests per second if needed.

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The search itself happens in a matter of milliseconds. This system can handle hundreds of requests per second if needed.

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Can I rename, change or use my own tags in automatic Home Decor & Furniture Tagging? https://www.ximilar.com/blog/faq-ximilar/can-i-rename-change-or-use-my-own-tags-in-automatic-home-decor-furniture-tagging/ Mon, 13 Feb 2023 13:54:53 +0000 https://www.ximilar.com/?post_type=faq&p=10154 Custom taxonomies can be applied through taxonomy mapping. The tagging services can also be easily switched to different languages. We can also replace or add tags in accordance with your needs. We recommend trying how the service works in our public demo & App and checking the API documentation including full taxonomy. If you do not […]

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Custom taxonomies can be applied through taxonomy mapping. The tagging services can also be easily switched to different languages. We can also replace or add tags in accordance with your needs.

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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What is the difference between AI Recognition of Collectibles and Custom Visual Search features? https://www.ximilar.com/blog/faq-ximilar/what-is-a-difference-between-image-recognition-of-collectibles-and-custom-visual-search/ Fri, 11 Nov 2022 11:12:07 +0000 https://www.ximilar.com/?post_type=faq&p=11021 AI Recognition of Collectibles is a basic AI system for detecting and analyzing images of collectibles, such as trading card games, sports cards, coins, stamps, or antique items. It can be combined with a custom visual search solution to find images in your collection based on a query image, recommend similar items, or match and eliminate duplicates in […]

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AI Recognition of Collectibles is a basic AI system for detecting and analyzing images of collectibles, such as trading card games, sports cards, coins, stamps, or antique items. It can be combined with a custom visual search solution to find images in your collection based on a query image, recommend similar items, or match and eliminate duplicates in item galleries. This system is always customized for specific customers’ needs.

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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Can your AI identify or find the exact collectible based on a photo? https://www.ximilar.com/blog/faq-ximilar/can-your-ai-identify-or-find-the-exact-collectible-based-on-a-photo/ Fri, 11 Nov 2022 10:56:25 +0000 https://www.ximilar.com/?post_type=faq&p=11013 Yes, it can. We will create a customized visual search. After that, you will be able to search in your database with image queries or recommend similar items. The visual search will be independent of the origin, resolution, or quality of colours of your images. The system works via REST API and is able to scale […]

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Yes, it can. We will create a customized visual search. After that, you will be able to search in your database with image queries or recommend similar items. The visual search will be independent of the origin, resolution, or quality of colours of your images.

The system works via REST API and is able to scale to hundreds of requests per second.

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Which collectibles can AI Recognition of Collectibles recognize? https://www.ximilar.com/blog/faq-ximilar/which-collectibles-can-image-recognition-of-collectibles-recognize/ Fri, 11 Nov 2022 10:22:42 +0000 https://www.ximilar.com/?post_type=faq&p=11011 As for now, the service is able to detect (and mark by bounding boxes) the collectibles such as stamps, coins, banknotes, comic books and trading cards, as well as antique items. 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 […]

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As for now, the service is able to detect (and mark by bounding boxes) the collectibles such as stamps, coins, banknotes, comic books and trading cards, as well as antique items.

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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What is AI Recognition of Collectibles and how does it work? https://www.ximilar.com/blog/faq-ximilar/what-is-image-recognition-of-collectibles-and-how-does-it-work/ Fri, 11 Nov 2022 10:11:59 +0000 https://www.ximilar.com/?post_type=faq&p=11595 AI Recognition of Collectibles is a service created for websites and apps for collectors. It automatically detects and recognizes collectible items, such as cards, coins, banknotes, or stamps. 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 […]

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AI Recognition of Collectibles is a service created for websites and apps for collectors. It automatically detects and recognizes collectible items, such as cards, coins, banknotes, or stamps.

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:

  • Visual Search – This technology will browse your collection based purely on the appearance of the item. You can find the exact or similar items in your collection based on an image query.
  • Background Removal – Remove the background from all single-item images automatically.
  • Image Upscaler – To enhance the quality of low-resolution images.

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