README.md

metadata

annotations_creators:
  - expert-generated
language_creators:
  - expert-generated
language:
  - bn
license:
  - cc-by-4.0
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - image-classification
task_ids:
  - multi-class-image-classification
pretty_name: BanglaDressNet
tags:
  - fashion
  - clothing
  - bangladesh
  - culture
  - classification
dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': Blouse
            '1': Dhoti
            '2': Dupatta
            '3': Fatua
            '4': Frock
            '5': Gamcha
            '6': Koti
            '7': Lungi
            '8': Maxi
            '9': Muffler
            '10': Panjabi
            '11': Petticoat
            '12': Salwar-Kameez
            '13': Sando-Genji
            '14': Saree
            '15': Shawl

🇧🇩 BanglaDressNet: Traditional Bangladeshi Dress Dataset (Novel Dataset)

📄 Context

Official dataset for the research paper:

"Multi-Level Ensemble Learning for Fine-Grained Classification of Traditional Bangladeshi Dress Using Deep Transfer Models" Accepted at: 2025 7th International Conference on Electrical Information and Communication Technology (EICT)

This dataset, BanglaDressNet, contains 8,000 images of 16 categories of traditional Bangladeshi attire, collected to facilitate fine-grained classification and cultural heritage preservation.

---

🔗 Associated Resources

Resource	Link
📄 Paper	Awaiting Publication
🐙 GitHub Repository
🐍 Kaggle Dataset

---

💾 Dataset Specifications

Feature	Details
Total Images	8,000
Classes	16
Format	JPG/PNG
Preprocessing	Resized to 224x224

Class Breakdown

1. Blouse
2. Dhoti
3. Dupatta
4. Fatua
5. Frock
6. Gamcha
7. Koti
8. Lungi
9. Maxi
10. Muffler
11. Panjabi
12. Petticoat
13. Salwar-Kameez
14. Sando-Genji
15. Saree
16. Shawl

---

🚀 Quick Start

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("musfiqurtuhin/bangladressnet")

# View a sample
print(dataset['train'][0])

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🤝 Citation

If you use this dataset, please cite our work:

@misc{md__musfiqur_rahman_2025,
    title={BanglaDressNet},
    url={https://www.kaggle.com/dsv/13932271},
    DOI={10.34740/KAGGLE/DSV/13932271},
    publisher={Kaggle},
    author={Md. Musfiqur Rahman},
    year={2025}
}