Resized version of BD Sports 10 dataset with downloader and progress bar
Project description
🏏 BD Sports-10 Dataset (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), showcasing ten culturally and traditionally significant Bangladeshi sports.
🔗 Original Dataset DOI: 10.57760/sciencedb.24216
For public research purposes, the dataset has been resized to 224×224 pixels at 30 FPS, making it more suitable for machine learning and deep learning applications.
🎯 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 Structure
The BD_Sports_10 folder contains a Dataset directory with 10 subfolders, each representing a distinct sports class.
Each class includes 300 videos, ensuring a balanced distribution for supervised learning.
🏅 Sports Categories
- Hari Vanga
- Joldanga
- Kanamachi
- Lathim
- Morog Lorai
- Toilakto Kolagach Arohon (Kolagach)
- Nouka Baich
- Kabaddi
- Kho Kho
- Lathi Khela
📊 Dataset Access
The BD Sports-10 Dataset is available in two versions 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 — BD Sports-10 Dataset (Resized Version)
If you use the resized version (224×224 pixels), please cite:
APA Citation:
Tanzim, W. U., Minhaz Hossain, S. M., Supta, N. B., & Shifatun Nur, S. (2025). BD Sports-10 Dataset (224×224 Pixels, Resized Version) [Data set]. Mendeley Data. https://doi.org/10.17632/rnh3x48nfb.1
BibTeX Citation:
@misc{Tanzim_BD_Sports_10_Resized_2025,
author = {Tanzim, Wazih Ullah and Hossain, Syed Md. Minhaz and Supta, Niloy Barua and Shifatun Nur, Shifa},
title = {{BD Sports-10 Dataset (224×224 Pixels, Resized Version)}},
year = {2025},
doi = {10.17632/rnh3x48nfb.1},
url = {https://doi.org/10.17632/rnh3x48nfb.1},
publisher = {Mendeley Data},
version = {V1}
}
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