Published January 15, 2025
| Version v1
Dataset
Open
PadelTracker100: A Dataset for Intelligent Player and Ball Tracking in Padel Sports
Creators
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Bada-Nerín, Roberto
(Researcher)1
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Paula Rodríguez
(Researcher)1
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Kreibel, Denis
(Supervisor)1
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Teodoro Rodríguez, Joao Víctor
(Researcher)1
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Pedrayes, Oscar D.
(Supervisor)1
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Usamentiaga, Ruben
(Supervisor)2
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Fontenla-Seco, Yago
(Supervisor)1
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Ben Lestón, Pablo
(Annotator)1
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Rodríguez Trillo, Sebastián
(Annotator)1
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Lozano García, Nicolás
(Annotator)1
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Mosquera Bonasorte, Franco
(Researcher)
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1.
NTT (Japan)
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2.
Universidad de Oviedo
Description
This dataset represents the first large-scale, fully annotated dataset of padel, a rapidly expanding sport, featuring comprehensive tracking of ball trajectories, pose estimation, and recognition of shot events. The dataset comprises approximately 100,000 frames extracted from two matches at the 2022 World Padel Tour (WPT) Finals. To enhance data quality, these frames were captured using a single camera angle that minimizes occlusions, accompanied by detailed annotations at the frame level, including ball positions, player poses, and shot event information.
The included Jupyter notebook demonstrates the practical application of the dataset.
Files
explore-padeltracker100-annotations.ipynb
Files
(7.1 GB)
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