BD体育-10:孟加拉国体育分类和分析的综合视频数据集
Wazih Ullah Tanzim1, Niloy Barua Supta1, Shifatun Nur Shifa1
1Department of Computer Science and Engineering, Premier University, Academic Building #4, 44, Hazari Lane, Kotwali, Chattogram 4000, Bangladesh.
Data in brief
|February 6, 2026
概括
为孟加拉国体育创造了一个新的数据集,BD Sports-10,以帮助深度学习和计算机视觉研究. 这一数据集为人工智能应用标准化了各种文化体育.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 运动科学 运动科学 运动科学
背景情况:
- 孟加拉国拥有丰富多样化的文化体育,许多获得国际关注.
- 现有的数据集缺乏对这些运动中的深度学习和计算机视觉应用的标准化.
研究的目的:
- 介绍孟加拉国体育的综合和标准化数据集BD体育-10.
- 促进人工智能驱动的计算机视觉和文化体育深度学习研究.
主要方法:
- 开发了BD体育-10数据集,包含10个独特的孟加拉国体育运动的3000个视频 (300个课程).
- 视频以1920x1080分辨率和30FPS拍摄,详细介绍各种动作和特定运动元素.
- 包括准备好使用的脚本和人工智能实验工作流程的预处理管道.
主要成果:
- BD体育-10数据集包括十项传统体育运动:卡巴迪,努卡拜奇,拉提克莱拉,科科,卡纳马奇,科拉加奇,哈里旺加,莫罗格洛拉伊,拉蒂姆和乔尔丹加.
- 数据集具有不同的规则,视角,球员行动和每个运动的技能变化.
- 数据集是平衡的,适合各种AI任务,包括分类,对象检测和玩家跟踪.
结论:
- BD体育-10解决了在文化体育研究中对标准化数据的需求.
- 该数据集支持先进的AI应用程序,如自动得分和玩家绩效分析.
- 为代表性不足的体育领域促进进一步的机器学习和计算机视觉研究.
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