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Padel-specific collection of datasets targeted to train and test computer vision applications on padel videos

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PadelVic

Padel-specific collection of datasets targeted to train and test computer vision applications on padel videos

Captured datasets

Dataset Height Device Resolution FPS Format Link
Main camera 6 m Panasonic AG-UX180 4K 3840x2160 50 MP4 3626x1960 version, 5.2 GB
Second camera 7.5 m GoPro Hero9 Black 3840x2160 60 MP4 2806x1870 version, 5.2 GB
Court level 1 1.45 m Samsung Galaxy S22+ 1920x1080 60 MP4 1920x1080 version, 3.2 GB
Court level 2 1.45 m iPhone 13 Pro Max 1920x1080 60 MOV 1920x1080 version, 3.2 GB
Motion Capture N/A Xsens MVN Awinda N/A 60 BVH One player, all games, 183 MB

Synthethic videos (and CSV files with ground truth positions)

Dataset Source Format Link
1 player @bottom, no court Xsens MVN Awinda MP4 Sample, 29 MB
1 player @bottom, court, GT position sphere Xsens MVN Awinda MKV Sample, 9 MB
1 player @bottom, court Xsens MVN Awinda MKV 001: Two rallies, 88 MB CSV with GT positions
1 player @bottom, court Xsens MVN Awinda MKV 002: One rally, 61 MB CSV with GT positions
1 player @top, court Xsens MVN Awinda MKV 002: One rally, 60 MB CSV with GT positions

Derived data (human detection and pose estimation from video)

Dataset Source Format Link
Player tracking results Panasonic AG-UX180 4K MP4 Sample, Game 2, 16MB
Player positions Panasonic AG-UX180 4K XLSX Sample, 550 KB
Player poses Panasonic AG-UX180 4K JSON Sample, 74 MB

Note

The player positions and player poses datasets above are just a sample, computed with a work-in-progress, non-robust player tracking method.

How to cite

"PADELVIC: Multicamera videos and motion capture data of an amateur padel match", by Mohammadreza Javadiha, Carlos Andujar, Michele Calvanese, Enrique Lacasa, Jordi Moyés, Jose Luis Ponton, Antonio Susín and Jiabo Wang. Padel Scientific Journal 2 (1), 89-106, 2024. DOI 10.17398/2952-2218.2.89

Licence

This dataset can be used only for research purposes. More details on the CC-BY-like license coming soon.

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Padel-specific collection of datasets targeted to train and test computer vision applications on padel videos

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