SoccerNet/SN-BAS-2025
收藏资源简介:
--- license: gpl-3.0 --- # SoccerNet Challenge 2025 - Team Ball Action Spotting ## Download the dataset Install the huggingface_hub pip package: ```bash pip install huggingface_hub[cli] ``` Download the dataset with the following Python code : ```python from huggingface_hub import snapshot_download snapshot_download(repo_id="SoccerNet/SN-BAS-2025", repo_type="dataset", revision="main", local_dir="SoccerNet/SN-BAS-2025") ``` ## Unzip the dataset splits The zipped folder contains videos from the original [SoccerNet dataset](https://www.soccer-net.org/data), which is password-protected. You will receive that password after signing the [SoccerNet NDA](https://docs.google.com/forms/d/e/1FAIpQLSfYFqjZNm4IgwGnyJXDPk2Ko_lZcbVtYX73w5lf6din5nxfmA/viewform).
--- 许可证:GPL-3.0 --- # SoccerNet Challenge 2025 - 球队球权动作定位(Team Ball Action Spotting) ## 数据集下载 安装huggingface_hub的pip工具包: bash pip install huggingface_hub[cli] 使用以下Python代码下载该数据集: python from huggingface_hub import snapshot_download snapshot_download(repo_id="SoccerNet/SN-BAS-2025", repo_type="dataset", revision="main", local_dir="SoccerNet/SN-BAS-2025") ## 解压数据集划分文件 该压缩包包含来自原始[SoccerNet数据集(SoccerNet dataset)](https://www.soccer-net.org/data)的视频文件,该数据集受密码保护。 您需签署[SoccerNet保密协议(NDA)](https://docs.google.com/forms/d/e/1FAIpQLSfYFqjZNm4IgwGnyJXDPk2Ko_lZcbVtYX73w5lf6din5nxfmA/viewform)后,方可获取该访问密码。




