---
license: afl-3.0
pretty_name: Fine-Grained Thai Food Image Classification Datasets.
size_categories:
- 10K<n<100K
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': BitterMelonSoup
          '1': BooPadPongali
          '2': CurriedFishCake
          '3': Dumpling
          '4': EggsStewed
          '5': FriedChicken
          '6': FriedKale
          '7': FriedMusselPancakes
          '8': GaengJued
          '9': GaengKeawWan
          '10': GaiYang
          '11': GoongObWoonSen
          '12': GoongPao
          '13': GrilledQquid
          '14': HoyKraeng
          '15': HoyLaiPrikPao
          '16': Joke
          '17': KaiJeowMooSaap
          '18': KaiThoon
          '19': KaoManGai
          '20': KaoMooDang
          '21': KhanomJeenNamYaKati
          '22': KhaoMokGai
          '23': KhaoMooTodGratiem
          '24': KhaoNiewMaMuang
          '25': KkaoKlukKaphi
          '26': KorMooYang
          '27': KuaKling
          '28': KuayJab
          '29': KuayTeowReua
          '30': LarbMoo
          '31': MassamanGai
          '32': MooSatay
          '33': NamTokMoo
          '34': PadPakBung
          '35': PadPakRuamMit
          '36': PadThai
          '37': PadYordMala
          '38': PhatKaphrao
          '39': PorkStickyNoodles
          '40': Roast_duck
          '41': Roast_fish
          '42': Somtam
          '43': SonInLawEggs
          '44': StewedPorkLeg
          '45': Suki
          '46': TomKhaGai
          '47': TomYumGoong
          '48': YamWoonSen
          '49': Yentafo
  splits:
  - name: train
    num_bytes: 1790570028.695
    num_examples: 12065
  - name: test
    num_bytes: 394634675.44
    num_examples: 2105
  - name: val
    num_bytes: 295187724.2
    num_examples: 1600
  download_size: 3125698089
  dataset_size: 2480392428.3349996
---

# THFOOD-50
Fine-Grained Thai Food Image Classification Datasets

THFOOD-50 containing 15,770 images of 50 famous Thai dishes.

## Download:

[THFOOD-50 v1 on Google Drive](https://drive.google.com/file/d/1CuNO2e77ZTk7mDfv3XujYXuUwiMwlUQI/view?usp=sharing)

## License

THFOOD-50 for **non-commercial research/educational** use.

## Citation

If you use THFOOD-50 dataset in your research, please cite our paper:

    @article{termritthikun2017nu,
      title="{NU-InNet: Thai food image recognition using convolutional neural networks on smartphone}",
      author={Termritthikun, Chakkrit and Muneesawang, Paisarn and Kanprachar, Surachet},
      journal={Journal of Telecommunication, Electronic and Computer Engineering (JTEC)},
      volume={9},
      number={2-6},
      pages={63--67},
      year={2017}
    }
    
    @inproceedings{termritthikun2017accuracy,
      title="{Accuracy improvement of Thai food image recognition using deep convolutional neural networks}",
      author={Termritthikun, Chakkrit and Kanprachar, Surachet},
      booktitle={2017 international electrical engineering congress (IEECON)},
      pages={1--4},
      year={2017},
      organization={IEEE}
    }
    
    @article{termritthikun2018nu,
      title="{Nu-ResNet: Deep residual networks for Thai food image recognition}",
      author={Termritthikun, Chakkrit and Kanprachar, Surachet},
      journal={Journal of Telecommunication, Electronic and Computer Engineering (JTEC)},
      volume={10},
      number={1-4},
      pages={29--33},
      year={2018}
    }

## Paper

 1. NU-InNet: Thai food image recognition using convolutional neural networks on smartphone [Paper](https://journal.utem.edu.my/index.php/jtec/article/download/2436/1521) [Code](https://github.com/chakkritte/NU-InNet)
 2. Accuracy improvement of Thai food image recognition using deep convolutional neural networks [Paper](https://ieeexplore.ieee.org/abstract/document/8075874/)
 3. Nu-resnet: Deep residual networks for thai food image recognition [Paper](https://journal.utem.edu.my/index.php/jtec/article/download/3572/2467) [Code](https://github.com/chakkritte/NU-ResNet)

#### Examples of Thai food images in the THFOOD-50 dataset
![imges](https://raw.githubusercontent.com/chakkritte/NU-InNet/master/images/THFOOD.png)

**NOTE**: I do not own this, but I took the liberty to upload this dataset to the community.