Ximilar (Creative)
Screenshot of Ximilar

Ximilar

Discover Ximilar, a Visual AI platform for automating image processing, from recognition and visual search to background removal and upscaling.

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What is Ximilar?

Ximilar is a Visual AI platform that automates image processing for businesses. Its services include recognizing what’s in an image, enabling visual search, removing backgrounds, and upscaling images to make them sharper. Solutions can be used out of the box, or the company can build custom developments for specific business needs. Ximilar is also involved in research projects, which informs its AI technology.

Who created Ximilar?

Ximilar was founded by a team with experience in computer vision and the visual data business. The core group includes:

  • Michal Lukáč – machine learning expert
  • David Novák – computer vision expert
  • Víťa Válka – web and UX design
  • Martin Novák – software engineer and developer
  • Dan Keder – software engineer and system administrator
  • Amos Struck – image industry expert
  • Václav Novák – machine learning specialist and developer
  • Zdeněk Lapeš – developer and ML specialist
  • Gabriela Paceltová – fashion expert
  • Michael Schneider – collectibles expert
  • Nessi Voinova – project manager and product owner
  • Alexandra Gracheva – content management specialist

What is Ximilar used for?

Ximilar covers a broad range of image processing tasks:

  • Object detection – spotting and identifying specific objects within images
  • Custom AI solutions – AI tailored to your needs, trained on your own image data
  • No-code computer vision – building computer vision models without programming skills
  • Ready-to-use demos – trying out AI capabilities quickly
  • Sports and trading cards identification – automatically recognizing and categorizing cards, including grading collectible sports cards and TCGs
  • Fashion detection, tagging and description – analyzing and describing fashion items
  • Stock photo tagging and similarity search – grouping photos by visual likeness
  • Real estate classification – categorizing images of rooms, interiors, homeware, and furniture
  • Image classification and regression – sorting images or predicting values from image content
  • Person detection and recognition – identifying people, faces, and objects in photos
  • Bulk annotation – efficient team-based labeling of images
  • Single API – automating image processing through one point of access

Key takeaways

Ximilar combines ready-made visual AI tools with custom development, covering recognition, search, tagging, background removal, and upscaling. Its no-code approach and single API make image processing automation accessible to teams without machine learning expertise, while vertical solutions for cards, fashion, stock photos, and real estate serve more specialized needs.

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