Soccerstar-v1-pc_uq.7z May 2026

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

: 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

: 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.

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

: 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

: 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.