Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Sub-tasks:
multi-class-image-classification
Languages:
Bengali
Size:
1K - 10K
License:
File size: 3,336 Bytes
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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
---
# π§π© BanglaDressNet: Traditional Bangladeshi Dress Dataset (Novel Dataset)




## π 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.
---
## π Associated Resources
| Resource | Link |
| :--- | :--- |
| π **Paper** | *Awaiting Publication* |
| π **GitHub Repository** | [](https://github.com/MusfiqurTuhin/BanglaDressNet-Classification) |
| π **Kaggle Dataset** | [](https://www.kaggle.com/datasets/musfiqurtuhin/bangladressnet) |
---
## πΎ 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**
---
## π Quick Start
```python
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("musfiqurtuhin/bangladressnet")
# View a sample
print(dataset['train'][0])
```
---
## π€ 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}
}
```
|