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reset readme according to config

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  ---
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- title: color tags
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- colorFrom: gray
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- colorTo: purple
 
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  sdk: gradio
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- sdk_version: 3.1.4
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  app_file: app.py
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  pinned: false
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  ---
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- # Color tags
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- ## An App classifying images on different colors
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- App: https://huggingface.co/spaces/rrighart/color-tags
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- Color tags are very useful for finding pictures on the web, such as in e-commerce applications.
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- This App provides color tags for uploaded image files.
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- The underlying model was trained using a basic Convolutional Neural Network and an EfficientNet, with the latter giving slightly better results [1](https://www.kaggle.com/code/rrighart/the-prediction-of-color-tags/data) .
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- For training and validation, the Vehicles Color Recognition (VCoR) dataset was used, which has 15 colors classes [2](https://www.kaggle.com/datasets/landrykezebou/vcor-vehicle-color-recognition-dataset). A separate unseen testset has overall accuracy of 84%
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- One goal of this project was to see if the model can generalizes to other kind of products and objects. For this purpose I have used Fashion Product Images [3](https://www.kaggle.com/datasets/paramaggarwal/fashion-product-images-small) and several test images show promising results.
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- ## Contact
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- Ruthger Righart
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- Self-employed data scientist in machine learning and computer vision
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- Email: rrighart@googlemail.com
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- Web: https://www.rrighart.com
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- ## References
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- 1. https://www.kaggle.com/code/rrighart/the-prediction-of-color-tags/data .
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- 2. https://www.kaggle.com/datasets/landrykezebou/vcor-vehicle-color-recognition-dataset
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- 3. https://www.kaggle.com/datasets/paramaggarwal/fashion-product-images-small
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  ---
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+ title: Color Tags
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+ emoji: 🌍
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+ colorFrom: yellow
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+ colorTo: indigo
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  sdk: gradio
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+ sdk_version: 3.2
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  app_file: app.py
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  pinned: false
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  ---
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