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README.md

@@ -1,27 +1,56 @@
-# Central Asian Food Dataset
+# Central Asian Food Dataset Card
 
-This work introduces the Central Asian Food Dataset (CAFD), a new dataset containing 16,499 images of food items across 42 classes.  The dataset is imbalanced; the class distribution is visually represented in the provided image.
+**Repository:** [https://github.com/IS2AI/Kazakh-Food-Dataset](https://github.com/IS2AI/Kazakh-Food-Dataset)
 
 
-[![Sample Images](https://github.com/IS2AI/Kazakh-Food-Dataset/blob/main/figures/samples.png)](https://github.com/IS2AI/Kazakh-Food-Dataset/blob/main/figures/samples.png)
+**Summary:**
 
+The Central Asian Food Dataset (CAFD) is a new dataset containing 16,499 images of food items across 42 classes. This dataset addresses the lack of publicly available resources for food image recognition in Central Asia.  The dataset is imbalanced, with class distribution shown in the provided figures.  Several pre-trained models (VGG-16, Squeezenet1_0, ResNet50, ResNet101, ResNet152, ResNext50_32, Wide ResNet-50, DenseNet-121, and EfficientNet-b4) have been trained on this dataset and its performance evaluated against a larger food dataset (Food1K). Pre-trained model weights are available for download. The dataset and pre-trained models are useful for developing personalized dietary intervention systems and food image recognition applications specific to Central Asian cuisine.
 
-[![Class Distribution](https://github.com/IS2AI/Kazakh-Food-Dataset/blob/main/figures/stats_plot.png)](https://github.com/IS2AI/Kazakh-Food-Dataset/blob/main/figures/stats_plot.png)
+**Dataset Statistics:**
 
+* **Number of Images:** 16,499
+* **Number of Classes:** 42
+* **Image Samples:**  (See image below)
+* **Class Distribution:** (See image below)
 
-## Dataset Download
 
-The CAFD dataset can be downloaded here: [https://issai.nu.edu.kz/wp-content/themes/issai-new/data/models/CAFD/CAFD.zip](https://issai.nu.edu.kz/wp-content/themes/issai-new/data/models/CAFD/CAFD.zip).  Contact [email protected] for any download issues.
+<img src="https://github.com/IS2AI/Kazakh-Food-Dataset/blob/main/figures/samples.png" width="750" height="700">
 
+<img src="https://github.com/IS2AI/Kazakh-Food-Dataset/blob/main/figures/stats_plot.png" width="500" height="600">
 
-## Pre-trained Models
 
-Several pre-trained models are available for download.  These models were trained and evaluated on the CAFD dataset, and some also on the Food1K dataset.
+**Model Performance:**
 
+The table below presents the Top-1 and Top-5 accuracy results for various models trained on CAFD and a combination of CAFD and the Food1K dataset.
 
-### Model Weights
+| Model             | CAFD (Top-1 Acc.) | CAFD (Top-5 Acc.) | Food1K+CAFD (Top-1 Acc.) | Food1K+CAFD (Top-5 Acc.) |
+|----------------------|--------------------|--------------------|-------------------------|-------------------------|
+| VGG-16             | 86.03              | 98.33              | 80.87                     | 96.19                     |
+| Squeezenet1_0       | 79.58              | 97.29              | 69.16                     | 90.15                     |
+| ResNet50            | 88.03              | 98.44              | 83.22                     | 97.25                     |
+| ResNet101           | 88.51              | 98.44              | 84.20                     | 97.45                     |
+| ResNet152           | 88.70              | 98.59              | 84.75                     | 97.58                     |
+| ResNext50_32        | 87.95              | 98.44              | 84.81                     | 97.65                     |
+| Wide ResNet-50      | 88.21              | 98.59              | 85.27                     | 97.81                     |
+| DenseNet-121        | 86.95              | 98.26              | 82.45                     | 96.93                     |
+| EfficientNet-b4     | 81.28              | 97.37              | 87.75                     | 98.01                     |
 
-* **ResNet152 trained on CAFD:** [https://issai.nu.edu.kz/wp-content/themes/issai-new/data/models/CAFD/cafd_resnet152.pt](https://issai.nu.edu.kz/wp-content/themes/issai-new/data/models/CAFD/cafd_resnet152.pt)
-* **EfficientNet-b4 trained on Food1K + CAFD:** [https://issai.nu.edu.kz/wp-content/themes/issai-new/data/models/CAFD/food1k_kfd_efficientnet.pt](https://issai.nu.edu.kz/wp-content/themes/issai-new/data/models/CAFD/food1k_kfd_efficientnet.pt)
 
+**Citations:**
 
+[1] Min, Weiqing and Wang,  Zhiling (2021). Large Scale Visual Food Recognition. arXiv.
+
+```bibtex
+@Article{nu15071728,
+AUTHOR = {Karabay, Aknur and Bolatov, Arman and Varol, Huseyin Atakan and Chan, Mei-Yen},
+TITLE = {A Central Asian Food Dataset for Personalized Dietary Interventions},
+JOURNAL = {Nutrients},
+VOLUME = {15},
+YEAR = {2023},
+NUMBER = {7},
+ARTICLE-NUMBER = {1728},
+URL = {https://www.mdpi.com/2072-6643/15/7/1728},
+ISSN = {2072-6643}
+}
+```