https://github.com/ds4v/30vnfoods

An end-to-end implementation process for building, labeling & deploying a dataset with 25136 images of 30 Vietnamese foods & their URLs: https://www.kaggle.com/quandang/vietnamese-foods
https://github.com/ds4v/30vnfoods

data-science dataset google-sheets kaggle vietnamese-foods

Last synced: 10 months ago
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An end-to-end implementation process for building, labeling & deploying a dataset with 25136 images of 30 Vietnamese foods & their URLs: https://www.kaggle.com/quandang/vietnamese-foods

• Host: GitHub
• URL: https://github.com/ds4v/30vnfoods
• Owner: ds4v
• License: mit
• Created: 2020-10-14T18:47:26.000Z (over 5 years ago)
• Default Branch: main
• Last Pushed: 2021-11-16T03:47:01.000Z (over 4 years ago)
• Last Synced: 2025-09-07T08:50:50.677Z (10 months ago)
• Topics: data-science, dataset, google-sheets, kaggle, vietnamese-foods
• Language: Jupyter Notebook
• Homepage: https://ieeexplore.ieee.org/abstract/document/9530774
• Size: 5.74 MB
• Stars: 17
• Watchers: 1
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# A Dataset for Vietnamese Food Images Recognition

-   Dataset: https://www.kaggle.com/quandang/vietnamese-foods

-   Demo: https://www.youtube.com/watch?v=GV_1TGohFU8

## Publication

> Paper: https://ieeexplore.ieee.org/abstract/document/9530774

This paper introduces a large dataset of **25136 images of 30 popular Vietnamese foods**. Several machine learning and deep learning image classification techniques have been applied to test the dataset and the results were compared and report. A **decent accuracy of 77.54%** and a high **top 5-accuracy of 96.07%** were achieved. The dataset and the performance comparison of state-of-the-art algorithm tested on the dataset will be useful for ones to develop new food image classification algorithms.

## Implementation process

1.  Collecting Data: https://git.io/Jthak

2.  Preprocessing Data:

    -   Filtering Similar Images: https://git.io/JthaI

    -   Labeling Tools: https://git.io/Jth2j

    -   Labeling Implement: https://bit.ly/3sxo3bk

    ![](https://github.com/18520339/vietnamese-foods/blob/main/Google%20Sheets/demo.png?raw=true)

3.  Model Implement: https://git.io/Jc1Bi

4.  Model Evaluation: https://git.io/Jc7fL

5.  Deployment: **temporarily inactive** due to the large model exceeded my Git LFS quota. You can watch the [demo](https://www.youtube.com/watch?v=GV_1TGohFU8) or try to make [your own deployment](https://github.com/18520339/30VNFoods/blob/main/app.py) with [our trained models](https://drive.google.com/drive/folders/1HQQaB3Tqc6m1XGxkqD5blQOO6vfdGONO?usp=sharing) using [Streamlit](https://docs.streamlit.io/en/stable/deploy_streamlit_app.html#deploy-your-app)

## License

MIT License

Copyright (c) 2021 [Quan Dang](https://github.com/18520339)

    Permission is hereby granted, free of charge, to any person obtaining a copy

    of this software and associated documentation files (the "Software"), to deal

    in the Software without restriction, including without limitation the rights

    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell

    copies of the Software, and to permit persons to whom the Software is

    furnished to do so, subject to the following conditions:

    The above copyright notice and this permission notice shall be included in all

    copies or substantial portions of the Software.

    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR

    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,

    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE

    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER

    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,

    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE

    SOFTWARE.