Fashion Tagging

New knowledge about data can improve user experience on your site leading to increased revenue. Process more products with your curator team and save on expenses.
  • Recognize
  • Fashion Photos
  • Ready to use

Highly Probable

tops 99.66 %
miniskirts 97.25 %
watch golden 91.50 %
gray 88.55 %
white 77.28 %
Sleeves short 75.65 %
Women 52.36 %


kitchen 49.78 %
indoors 46.94 %
cup 36.02 %

Try it yourself: See demo

Product Data Curation

Critical benefit of Fashion Tagging is that you speed up your workflows. You can add tags automatically on incoming content 24/7 and only let your editing team verify results. Sign-up for Ximilar & use the API to get instant predictions. We can run this in the cloud as well as on your own server if you do not want your data leave your machine. We focus mainly on Fashion and we have a constantly growing list of fashion objects and tags we recognize in the following areas: Clothing, Footwear, Watch, Bags, Accessories, Jewellery.

Download Taxonomy Cheat Cheet

Custom Solutions

If our list of fashion tags is not sufficient for you, talk to us about adding your set of concepts. Or feel free to train your image classifier using our custom classification service.

We are Experts
Ready to Help You Out

Machine Learning is our passion. We know all the ins & outs of technologies that might help you level-up your business using full or partial automation. Feel free to contact us and lets speak about what we can do for you.

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Technology Stack

We use state of the art neural network models & machine learning techniques. Constantly trying to improve the technology so you always have the best quality available. Each model has millions of parameters which can be processed by CPU or GPU. Our intelligent algorithm picks from several models & uses the best performing.

  • Tensorflow-Logo
  • Docker-Logo
  • Nvidia-Logo
  • IbmCloud-Logo
  • Python-Logo

Send me Fashion Tagging taxonomy

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API Documentation

We take care of the complexity behind and wrap it in a few lines of code.

full documentation
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