🏏 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) 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

⚠️ 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.

🎯 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

📊 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
  
  🔗 Access: Mendeley Data

📜 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.

📜 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

• 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)