3D Shot Posture (3DSP) dataset
收藏arXiv2025-09-30 收录
下载链接:
https://github.com/calvinyeungck/3D-Shot-Posture-Dataset
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资源简介:
该数据集名为3DSP,对于开发AutoSoccerPose技术至关重要,它作为在专业足球比赛直播视频中2D姿态估计的基准。该数据集包含了一系列捕捉足球动作的图像,重点关注射门等不同的动作。此外,数据集不仅包含了2D姿态标注,还包含了估计的3D姿态,训练集由每项射门动作的20张裁剪图像组成,而测试集则仅包含轨迹信息。该数据集的规模涵盖了4000张标注图像,这些图像基于200个射门动作,来自22场独特的比赛。其任务是对足球动作进行2D和3D姿态估计以及姿势分析。
This dataset, named 3DSP, is critical for the development of AutoSoccerPose technology and serves as a benchmark for 2D pose estimation in live broadcasts of professional soccer matches. It contains a series of images capturing soccer actions, with a focus on diverse movements such as shots. Additionally, the dataset includes both 2D pose annotations and estimated 3D poses. The training set consists of 20 cropped images for each shot, while the test set only contains trajectory information. The dataset spans 4,000 annotated images derived from 200 shooting actions across 22 unique matches. The task focuses on 2D and 3D pose estimation and pose analysis for soccer actions.
提供机构:
Available at GitHub



