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Datasets/Soccer

Soccer

ISSIA-CNR Soccer

Introduced 2009-10-06
  • This dataset was originally introduced by [1] for soccer ball and player tracking from six synchronized videos.
  • Since ball annotations provided by [1] are collapsed, new annotations of ball 2D coordinates are provided by [2]
  • For sports ball detection and tracking evaluation, the first four video clips are used for training and the remaining two clips are for testing.

[1] T. D’Orazio et al., A Semi-automatic System for Ground Truth Generation of Soccer Video Sequences, in AVSS, 2009. [2] S. Tarashima et al., Widely Applicable Strong Baseline for Sports Ball Detection and Tracking, in BMVC, 2023.

Benchmarks

Object Tracking/F1 (%)Object Tracking/Accuracy (% )Object Tracking/Average Precision (%)

Related Benchmarks

SoccerNet/Video/Average-mAPSoccerNet-v2/2D Semantic Segmentation/mIoUSoccerNet-v2/Object Tracking/HOTASoccerNet-v2/Person Re-Identification/Rank-1SoccerNet-v2/Person Re-Identification/mAPSoccerNet-v2/Scene Parsing/mIoUSoccerNet-v2/Scene Understanding/mIoUSoccerNet-v2/Video/Average-APSoccerNet-v2/Video/Average-mAPSoccerNet-v2/Video/HOTASoccerNet-v2/Video/Tight Average-mAPSoccerNet-v2/Video Retrieval/Average-APSoccerNet-v2/Video Segmentation/mAPSoccerNet-v2/Video Semantic Segmentation/mIoU

Statistics

Papers
17
Benchmarks
3

Links

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Tasks

Object TrackingReinforcement LearningSports Ball Detection and Tracking