自动生成的桥牌游戏注册训练数据集

本数据集由AGH科技大学创建，旨在为深度卷积神经网络提供训练数据，以实现桥牌游戏中牌和叫牌的自动检测。数据集包含近32000张图像，涵盖不同光照、角度和布局的牌面，以及叫牌标记。创建过程涉及视频录制和图像处理，确保数据多样性和实用性。该数据集应用于桥牌比赛直播自动化，解决传统手动记录的低效问题。

This dataset was created by AGH University of Science and Technology to provide training data for deep convolutional neural networks, enabling automatic detection of playing cards and bidding actions in bridge games. It contains nearly 32,000 images covering card faces and bidding markers under varying lighting conditions, shooting angles and layout scenarios. The dataset construction process involves video recording and image processing to ensure data diversity and practical utility. This dataset is applied to automate live bridge game broadcasts, solving the inefficiency issues of traditional manual record-keeping.