
# 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.
size_categories:10K<n<100K license:afl-3.0 region:us
{"license": "afl-3.0", "size_categories": ["10K<n<100K"], "pretty_name": "Fine-Grained Thai Food Image Classification Datasets.", "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}}
TAGS
#size_categories-10K<n<100K #license-afl-3.0 #region-us 


# 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

## License

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

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 Code
 2. Accuracy improvement of Thai food image recognition using deep convolutional neural networks Paper
 3. Nu-resnet: Deep residual networks for thai food image recognition Paper Code

#### Examples of Thai food images in the THFOOD-50 dataset
!imges

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

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

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 Code
 2. Accuracy improvement of Thai food image recognition using deep convolutional neural networks Paper
 3. Nu-resnet: Deep residual networks for thai food image recognition Paper Code #### Examples of Thai food images in the THFOOD-50 dataset
!imges

NOTE: I do not own this, but I took the liberty to upload this dataset to the community.
TAGS
#size_categories-10K<n<100K #license-afl-3.0 #region-us 
 # 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 ## License

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

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 Code
 2. Accuracy improvement of Thai food image recognition using deep convolutional neural networks Paper
 3. Nu-resnet: Deep residual networks for thai food image recognition Paper Code #### Examples of Thai food images in the THFOOD-50 dataset
!imges

NOTE: I do not own this, but I took the liberty to upload this dataset to the community.
passage: TAGS
#size_categories-10K<n<100K #license-afl-3.0 #region-us 
# 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## License

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

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 Code
 2. Accuracy improvement of Thai food image recognition using deep convolutional neural networks Paper
 3. Nu-resnet: Deep residual networks for thai food image recognition Paper Code