Author

Connor Hashemi

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Preprint Sep 2026

UniqueShip: Mitigating Data Leakage in Acoustic Ship Classification Benchmark Datasets

Underwater Acoustic Target Recognition (UATR) of ships is well-suited for machine learning, yet its progress is hindered by the lack of large, diverse, and publicly available labeled datasets. In this work, we introduce UniqueShip, a machine learning-ready benchmark dataset for UATR applications sourced from the open O...

Connor Hashemi, Trevor A. Stout, A. Hoogs et al. · 0 citations