BD Sports-10 Dataset (224×224 Pixels, Resized Version)

Published: 27 October 2025| Version 2 | DOI: 10.17632/rnh3x48nfb.2
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Description

The BD Sports-10 Dataset is a comprehensive collection of 3,000 high-resolution videos (originally 1920×1080 pixels at 30 frames per second, Link: 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 more 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 sports category comprises 300 videos, ensuring a balanced distribution for supervised learning. The dataset includes the following Bangladeshi sports: 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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Institutions

  • Premier University
  • United International University

Categories

Computer Vision, Machine Learning, Supervised Learning, Sports Imaging, Video, Bangladesh, Deep Learning, Action Recognition, Edge Computing

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