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🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation 🍞🍖🍕
| Date | Stars |
|---|---|
| 2026-07-24 | 374 |
| 2026-07-25 | 374 |
| 2026-07-28 | 374 |
| 2026-07-30 | 374 |
| 2026-08-06 | 374 |
Today
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growth rate 0.00%/day
<h1 align="center">🍔🍟🍗 Meal analysis with Theseus 🍞🍖🍕</h1>
<p align="center">
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<a><img src="./static/assets/demo/pipeline.png"></a>
<br>
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<a href="./LICENSE"><img src="https://img.shields.io/github/license/Naereen/StrapDown.js.svg" alt="MIT" /></a>
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<a href="https://www.python.org/"><img src="https://img.shields.io/badge/Made%20with-Python-1f425f.svg" alt="Python" /></a>
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<!--
## 🌳 **Folder Structure**
<details>
<summary><strong>Details</strong></summary>
```
food-detection-yolov5
|
│ app.py # Flask server
| modules.py # inference stage, export result files, csv,...
|
└───api
│ └─── ...
│ └─── api.py # make request, update db
│ └─── secret.py # get reponse
|
└───model
│ └─── ...
│ └─── detect.py # image detection
│ └─── video_detect.py # video detection
|
└───static
│ └─── ...
│ └─── assets # contain upload files, detection files
│ └─── css # custom css files, bootstrap
│ └─── js
| └─── ...
│ └─── client.js # custom js for templates
│ └─── chart.js # nutrients analysys with charts
|
└───templates
│ └─── ...
│ └─── index.html # upload files' page
│ └─── url.html # input URLs' page
```
</details> -->
<details open> <summary><strong>Dev logs</strong></summary>
<strong><i>[01/05/2024]</i></strong> Fix ngrok bug on Colab https://github.com/lannguyen0910/food-recognition/issues/32 (Migrate to pyngrok).<br>
<strong><i>[24/10/2023]</i></strong> Clean and refactor repo. Integrate YOLOv8 to food detection.<br>
<strong><i>[07/03/2022]</i></strong> Big refactor. Integrate object detection, image classification, semantic segmentation into one <b><i>Ship of Theseus</i></b>.<br>
<strong><i>[31/01/2022]</i></strong> Update to new YOLOv5 latest versions P5-P6. Can load checkpoints from original repo.<br>
<strong><i>[26/12/2021]</i></strong> Update app on Android. <br>
<strong><i>[12/09/2021]</i></strong> Update all features to the web app. <br>
<strong><i>[16/07/2021]</i></strong> All trained checkpoints on custom data have been lost. Now use pretrained models on COCO for inference.
</details>
## 📔 **Notebook**
- For inference, use this notebook to run the web app [](https://colab.research.google.com/drive/1X06Y-HSPeHbEWtsXpyal8R1PliiVvpJq?usp=sharing)
- For training, refer to these notebooks for your own training:
- Detection: [](https://drive.google.com/file/d/1SywGfyfj3SVrE7VAAl3CshB9s3o8WRXL/view?usp=sharing)
- Classification: [![NoteExcerpt of 15,707 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:115844230ef85e3b, topic:computer-vision, topic:object-detection, topic:image-classification
matched fp:115844230ef85e3b, topic:deep-learning, topic:pytorch