It is my graduation project. Aim of this project is recognizing different types of grocery products with using convolutional neural networks. In this work, dataset is generated by myself, data augmentation techniques and deep learning methods are used. 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. Python, jupyter notebook, flask, html, css and deep learning libraries are used.
-
Notifications
You must be signed in to change notification settings - Fork 0
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 sh…
License
HonourHealth/Grocery-Store-Automatic-Product-Detection
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
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 sh…
Topics
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published