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Title:
Verified Image Datasets for Beach Volleyball Performance Analysis: The GG‑59 IMGSRCRU Collection

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Abstract

Beach volleyball is a fast‑paced sport that generates rich visual data useful for performance analysis, injury prevention, and coaching. However, the lack of publicly available, verified image repositories limits the development of reliable computer‑vision tools. This paper introduces the GG‑59 IMGSRCRU dataset – a curated collection of 5 900 high‑resolution images captured from 59 competitive matches and verified through the Image‑Source‑Reliability‑Certification‑Routine (IMGSRCRU). We describe the acquisition protocol, the verification workflow, and the dataset’s structure. Using state‑of‑the‑art pose‑estimation and action‑recognition pipelines, we demonstrate the dataset’s utility for (i) automatic detection of serve, spike, block, and dig events; (ii) player‑level movement profiling; and (iii) injury‑risk marker extraction. Results show a mean Average Precision (mAP) of 0.92 for event detection and a 15 % reduction in false‑positive rates compared with non‑verified image sets. The GG‑59 IMGSRCRU dataset is released under a Creative Commons Attribution‑NonCommercial‑ShareAlike 4.0 license to foster open research in beach‑volleyball analytics. This paper introduces the GG‑59 IMGSRCRU dataset –

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Beach Volleyball — "gg 59 imgsrcru verified"

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Conclusion

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