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@@ -22,3 +22,16 @@ configs:
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  - split: train
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  path: data/train-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - split: train
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  path: data/train-*
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  ---
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+
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+ ## Context
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+ This Shoe vs Sandal vs Boot Image Dataset contains 15,000 images of shoes, sandals and boots. 5000 images for each category. The images have a resolution of 136x102 pixels in RGB color model.
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+
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+ ## Content
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+ There are three classes here.
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+ - Shoe
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+ - Sandal
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+ - Boot
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+
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+ ## Inspiration
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+ This dataset is ideal for performing multiclass classification with deep neural networks like CNNs.
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+ You can use Tensorflow, Keras, Sklearn, PyTorch or other deep/machine learning libraries to build a model from scratch or as an alternative, you can fetch pretrained models as well as fine-tune them.