CoolFace
Datasetpublic

musfiqurtuhin/bangladressnet

🇧🇩 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… See the full description on the dataset page: https://huggingface.co/datasets/musfiqurtuhin/bangladressnet.

sourceHugging Facecc-by-4.0updated 10mo agoView on Hugging Face
0likes11downloads
Dataset Card

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

Language Task Size License

📄 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

ResourceLink
📄 PaperAwaiting Publication
🐙 GitHub Repository![GitHub](https://github.com/MusfiqurTuhin/BanglaDressNet-Classification)
🐍 Kaggle Dataset![Kaggle](https://www.kaggle.com/datasets/musfiqurtuhin/bangladressnet)

💾 Dataset Specifications

FeatureDetails
Total Images8,000
Classes16
FormatJPG/PNG
PreprocessingResized to 224x224

Class Breakdown

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

🚀 Quick Start

python
from datasets import load_dataset

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

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

🤝 Citation

If you use this dataset, please cite our work:

bibtex
@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}
}