https://github.com/SunchhayK/Product_Image_Classification
This project aims to take an input of a product image and then classify it to a certain category by using a supervised learning approach.
https://github.com/SunchhayK/Product_Image_Classification
classification machine-learning pytorch tensorflow
Last synced: 5 months ago
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This project aims to take an input of a product image and then classify it to a certain category by using a supervised learning approach.
- Host: GitHub
- URL: https://github.com/SunchhayK/Product_Image_Classification
- Owner: SovansunchhayKhoun
- Created: 2024-12-09T12:43:17.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-06T03:54:30.000Z (over 1 year ago)
- Last Synced: 2025-04-08T04:32:13.043Z (over 1 year ago)
- Topics: classification, machine-learning, pytorch, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 142 MB
- Stars: 0
- Watchers: 1
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Product Image Classification
This project aims to take an input of a product image and then classify it to a certain category by using a supervised learning approach.
## Requirements
| Name | Version |
|-|-|
| *Python* | **3.10.*** |
## Run the project
Create a conda virtual environment.
### Install the dependencies
```py
pip install -r requirements.txt
```
### Start the project
```py
jupyter notebook
```
> The `main.ipynb` is the main file of our project. It outlines how we pre-process our dataset and all the different types of models (the best version) we have trained is evaluated and compared in this file.
## Author
- Khoun Sovansunchhay
- John Liza
- Chan Liza