Dataset Viewer
Auto-converted to Parquet Duplicate
Search is not available for this dataset
image
imagewidth (px)
224
224
label
class label
16 classes
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
0Blouse
1Dhoti
1Dhoti
1Dhoti
1Dhoti
1Dhoti
1Dhoti
1Dhoti
1Dhoti
1Dhoti
1Dhoti
1Dhoti
1Dhoti
1Dhoti
1Dhoti
1Dhoti
1Dhoti
1Dhoti
1Dhoti
1Dhoti
1Dhoti
1Dhoti
1Dhoti
1Dhoti
1Dhoti
1Dhoti
End of preview. Expand in Data Studio

πŸ‡§πŸ‡© BanglaDressNet: Traditional Bangladeshi Dress Dataset (Novel Dataset)

Language Task Size License

πŸ“„ 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.


πŸ”— Associated Resources

Resource Link
πŸ“„ Paper Awaiting Publication
πŸ™ GitHub Repository GitHub
🐍 Kaggle Dataset Kaggle

πŸ’Ύ 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

πŸš€ Quick Start

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:

@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}
}
Downloads last month
54