Soccerstar-v1-pc_uq.7z Page

: It addressed the lack of large-scale, publicly available datasets for automated soccer video understanding, enabling the training of deep learning models for sports analytics. Evolutions of the Dataset

: Focuses on three primary event types: Goals , Yellow/Red Cards , and Substitutions . SoccerStar-v1-pc_UQ.7z

: The paper proposes using recent developments in action recognition and detection to provide baselines, reaching a mean Average Precision (mAP) of 67.8% for classifying 1-minute temporal segments. : It addressed the lack of large-scale, publicly

A Scalable Dataset for Action Spotting in Soccer Videos - arXiv SoccerStar-v1-pc_UQ.7z

Since the original v1 release, the dataset has expanded significantly into newer versions: