SoccerNet_v3_H250/

This is our proposed dataset for evaluating long-shot Football (Soccer) player and ball detection models. It is a subset of SoccerNet-v3. It consists of the frames in which the length (height) of the bounding box that locates a person does not exceed 250 pixels. The SoccerNet v3 compressed .png images have been extracted to the proper directory structure and converted to .jpg. Additionally, the corresponding annotations of the bounding boxes have been filtered and converted into a format compatible with YOLO annotation. Two classes are present: “0” for ball, and “1” for person bounding boxes. As "person" we have included all 7 classes of human annotations. The division into training, validation and testing parts has been preserved, and the corresponding number of images is now: 14,368/2,726/2,692. Relevant code is available at [https://github.com/kmouts/FootAndBall] More info regarding the dataset is available here: [https://github.com/kmouts/SoccerNet_v3_H250]本数据集为我们提出的专用评测数据集，用于评估长镜头足球（Soccer）运动员与球体检测模型。该数据集是SoccerNet-v3的子集，涵盖所有人物边界框高度不超过250像素的视频帧。SoccerNet-v3的压缩.png格式图像已被提取至规范目录结构，并转换为.jpg格式。此外，相关边界框的标注信息已完成筛选，并转换为适配YOLO标注的格式。数据集共设两类标注：类别“0”对应球体，类别“1”对应人物边界框；此处的“人物”类别涵盖了全部7类人体标注类别。数据集保留了原有的训练集、验证集与测试集划分，各子集的图像数量分别为14368、2726与2692。相关代码可访问：https://github.com/kmouts/FootAndBall；更多数据集相关信息可访问：https://github.com/kmouts/SoccerNet_v3_H250。

搜集汇总

背景与挑战

背景概述

SoccerNet_v3_H250/是一个专门用于远距离足球球员和球检测的数据集，包含转换后的图像和YOLO格式的注释，适用于训练和评估相关模型。