Create README.md

README.md

@@ -0,0 +1,63 @@
+---
+license: afl-3.0
+pretty_name: Fine-Grained Thai Food Image Classification Datasets.
+size_categories:
+- 10K<n<100K
+---
+
+# 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.