Update README.md

README.md

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 # brand-detector
 
+Brand detector is a particular case of image classification, since these may contain only text, images, or a combination of both. 
 
-Autogenerated by HuggingPics🤗🖼️
+In this work, we trained a system for the brand classification of shoes available at https://www.shooos.com/.
 
-Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).
+The method allows obtaining the most similar brands on the basis of their shape, color, business sector, semantics, general characteristics, or a combination of other features. 
 
-Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics).
+The proposed approach is evaluated using 15% of unseen images of the dataset. The experimentation carried out attained reliable performance results, both quantitatively and qualitatively.
 
+How to test:
+- find on Google Images any image related to shoe brands below and test it!
+
+This model is not fully trained yet :D
 
 ## Example Images