Soccerstar-v1-pc_uq.7z -

A Scalable Dataset for Action Spotting in Soccer Videos - arXiv

: 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. SoccerStar-v1-pc_UQ.7z

: 500 complete soccer games from major European leagues (2014–2017), totaling 764 hours of video. A Scalable Dataset for Action Spotting in Soccer

Since the original v1 release, the dataset has expanded significantly into newer versions: The "Deep" Paper: SoccerNet (SN-v1) : Focuses on

The file likely contains the first version of the SoccerNet dataset (often referred to as SN-v1 ), which is the foundation for the landmark paper SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos . The "Deep" Paper: SoccerNet (SN-v1)

: Focuses on three primary event types: Goals , Yellow/Red Cards , and Substitutions .