https://github.com/honourhealth/grocery-store-automatic-product-detection

It is my graduation project. Aim of this project is recognizing different types of grocery products with using convolutional neural networks. Dataset is generated by myself, data augmentation techniques and deep learning methods are used in this work. In order to make it more user friendly, I created a web application to upload the images and show name of the products to user. In this study Python, Jupyter Notebook, Flask, Html, CSS and deep learning libraries are used.
https://github.com/honourhealth/grocery-store-automatic-product-detection

convolutional-neural-networks css deep-learning deep-learning-library flask html jupyter-notebook python

Last synced: 2 days ago
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It is my graduation project. Aim of this project is recognizing different types of grocery products with using convolutional neural networks. Dataset is generated by myself, data augmentation techniques and deep learning methods are used in this work. In order to make it more user friendly, I created a web application to upload the images and show name of the products to user. In this study Python, Jupyter Notebook, Flask, Html, CSS and deep learning libraries are used.

• Host: GitHub
• URL: https://github.com/honourhealth/grocery-store-automatic-product-detection
• Owner: HonourHealth
• License: apache-2.0
• Created: 2021-02-13T11:02:08.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2023-02-08T17:17:47.000Z (almost 2 years ago)
• Last Synced: 2023-07-12T14:50:42.070Z (over 1 year ago)
• Topics: convolutional-neural-networks, css, deep-learning, deep-learning-library, flask, html, jupyter-notebook, python
• Language: Jupyter Notebook
• Homepage:
• Size: 187 MB
• Stars: 2
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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