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]

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。