ARMammadli/azerbaijani-cuisine

Azerbaijani Cuisine Dataset

A curated image dataset of traditional Azerbaijani dishes for computer vision and image classification tasks.

Dataset Description

This dataset contains images of five traditional Azerbaijani dish categories. It is organized into standard training, validation, and test splits to facilitate machine learning model development and evaluation.

Features

• 5 Food Categories: Dolma, Kebabs, Pakhlava, Plov, and Soups
• 324 Total Images: Properly split for machine learning tasks
• Standard Format: Images are renamed to follow a consistent pattern (category_number.jpg)
• Pre-split Data: Ready-to-use train/test/validation splits

Statistics

Overall Dataset Breakdown:

• Total categories: 5
• Total images: 324
  • Training set: 257 images (79.3%)
  • Test set: 33 images (10.2%)
  • Validation set: 34 images (10.5%)

Distribution by Category:

Category	Training	Test	Validation	Total
Dolma	98	12	8	118
Kebabs	36	5	7	48
Pakhlava	23	5	3	31
Plov	34	4	8	46
Soups	66	7	8	81

Image Specifications:

• Predominant image size: 640x640 pixels
• Average image size: 640.0x640.0 pixels

Categories

Brief descriptions of the five Azerbaijani dishes included in the dataset:

1. Dolma: Stuffed vegetables (typically grape leaves, bell peppers, or eggplants) filled with a mixture of minced meat, rice, and herbs.

2. Kebabs: Skewered and grilled meat dishes, including varieties like lula kebab (ground meat), tika kebab (meat chunks), and others.

3. Pakhlava: A sweet pastry made of layers of phyllo dough filled with chopped nuts and sweetened with syrup or honey.

4. Plov: A rice dish cooked with meat, dried fruits, and various spices. It's considered one of Azerbaijan's national dishes.

5. Soups: Various traditional Azerbaijani soups, which may include dishes like piti, dovga, and kufta-bozbash.

Usage

Loading the Dataset with Hugging Face

from datasets import load_dataset

# Load the entire dataset
dataset = load_dataset("ARMammadli/azerbaijani-cuisine")

# Or load specific splits
train_dataset = load_dataset("ARMammadli/azerbaijani-cuisine", split="train")
validation_dataset = load_dataset("ARMammadli/azerbaijani-cuisine", split="validation")
test_dataset = load_dataset("ARMammadli/azerbaijani-cuisine", split="test")

Data Format

Each sample contains:

• image: The image of the Azerbaijani dish
• label: The category name (dolma, kebabs, pakhlava, plov, soups)

Limitations and Considerations

• Dataset Size: This is a relatively small dataset (324 images) intended primarily for educational purposes
• Image Watermarks: Some images contain watermarks as they were collected from various websites
• Class Imbalance: Categories have varying numbers of samples (from 31 for Pakhlava to 118 for Dolma)

License

This dataset is released under the MIT License.

Acknowledgements

This dataset was created as part of a project for the CSCI4701 course at ADA University.