bd-sports-10-resized 0.6.0
Resized version of BD Sports 10 dataset with downloader and progress bar
License: CC BY 4.0
Requires Python: >=3.11

# 🏏 BD Sports-10 Dataset (224×224 Pixels, Resized Version)

The **BD Sports-10 Dataset** is a comprehensive collection of **3,000 high-resolution videos** (originally 1920×1080 pixels at 30 frames per second, [Original Dataset DOI](https://doi.org/10.57760/sciencedb.24216)) showcasing **ten culturally and traditionally significant Bangladeshi sports**.

For public research purposes, the dataset has been **resized to 224×224 pixels at 30 frames per second**, making it suitable for **machine learning** and **deep learning** applications. This dataset is designed to support research in **action recognition**, **cultural heritage preservation**, **sports video classification**, and other machine learning tasks.

The **BD_Sports_10** folder contains a **Dataset** directory, which includes **10 subfolders**, each corresponding to a sports class. Each category comprises **300 videos**, ensuring a balanced distribution for supervised learning.

### Sports Classes

1. Hari Vanga
2. Joldanga
3. Kanamachi
4. Lathim
5. Morog Lorai
6. Toilakto Kolagach Arohon (Kolagach)
7. Nouka Baich
8. Kabaddi
9. Kho Kho
10. Lathi Khela

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# ⚠️ Please note that the dataset version and the PyPI package version may not be the same—always check the version you are using to ensure consistency.

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## 🎯 Research Applications

This dataset is designed to support:

- Human action recognition
- Cultural heritage preservation
- Bangladeshi Sports video classification
- Supervised learning tasks
- Deep learning model benchmarking

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## 📊 Dataset Access

The **"BD Sports-10 Dataset (224×224 Pixels, Resized Version)"** is available for research use:

- **Resized Version (224×224 pixels)** — optimized for ML/DL tasks  
  [![BD Sports-10 Dataset (224×224 Pixels, Resized Version)](https://img.shields.io/badge/BD_Sports_10_Resized_Version-224x224-blue)](https://data.mendeley.com/datasets/rnh3x48nfb/2)  
  🔗 **Access:** [Mendeley Data](https://data.mendeley.com/datasets/rnh3x48nfb/2)

> 📜 The dataset is licensed under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license.  
> Proper citation is required when using or redistributing this dataset.

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### 📜 Citation

If you use this dataset, please cite the **resized version** as:

- **APA style:**

- Tanzim, W. U., Supta, N. B., Shifa, S. N., & Mamun, K. A. (2025). BD Sports-10 Dataset (224×224 Pixels, Resized Version, V2) [Data set]. Mendeley Data. https://doi.org/10.17632/rnh3x48nfb.2

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- **BibTeX:**

```bibtex
@misc{tanzim2025_bdsports10_resized,
  author       = {Wazih Ullah Tanzim and Niloy Barua Supta and Shifatun Nur Shifa and Khondaker A. Mamun},
  title        = {{BD Sports-10 Dataset (224×224 Pixels, Resized Version)}},
  year         = {2025},
  publisher    = {Mendeley Data},
  version      = {V2},
  doi          = {10.17632/rnh3x48nfb.2},
  url          = {https://data.mendeley.com/datasets/rnh3x48nfb/2}

}
```

## 📄 License

- **Dataset** → CC BY 4.0 (attribution required)