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An image recognition model which is capable of identifying the pattern on a dress image

License: MIT License

Python 0.04% Jupyter Notebook 99.96%
image-processing machine-learning deep-learning convolutional-neural-networks classifier-model fashion-classifier fashion-recommendation e-commerce recommendation-system product-recommendation

dress-pattern-recognition-using-cnn's Introduction

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This README would normally document whatever steps are necessary to get the application up and running.

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  • Ruby version

  • System dependencies

  • Configuration

  • Database creation

  • Database initialization

  • How to run the test suite

  • Services (job queues, cache servers, search engines, etc.)

  • Deployment instructions

  • ...

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dress-pattern-recognition-using-cnn's Issues

Issues

Around 15k images are present in the data csv, but only about 10k images in total are used in the notebook.
The model was trained as a binary problem, but the real problem is a multi-calss one.
The only folder created in create dataset is dataset category, but how is dataset category test used in notebooks?
Receiving an accuracy of over 95% but not using other metrics to demonstrate it statistically is not a good thing.

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