Update README.md

README.md

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----
-license: cc-by-4.0
----
+---
+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
+
+![Language](https://img.shields.io/badge/Language-Bengali-green?style=for-the-badge&logo=google-translate&logoColor=white)
+![Task](https://img.shields.io/badge/Task-Image%20Classification-red?style=for-the-badge&logo=mediafire&logoColor=white)
+![Size](https://img.shields.io/badge/Size-8K%20Images-blue?style=for-the-badge&logo=files&logoColor=white)
+![License](https://img.shields.io/badge/License-CC--BY--4.0-lightgrey?style=for-the-badge)
+
+## 📄 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** | [![GitHub](https://img.shields.io/badge/GitHub-Repo-black?style=flat&logo=github)](https://github.com/MusfiqurTuhin/BanglaDressNet-Classification) |
+| 🐍 **Kaggle Dataset** | [![Kaggle](https://img.shields.io/badge/Kaggle-Dataset-blue?style=flat&logo=kaggle)](https://www.kaggle.com/datasets/musfiqurtuhin/bangladressnet) |
+
+---
+
+## 💾 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
+
+```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}
+}
+```