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The Qilin Watermelon dataset is a unique collection exploring the relationship between watermelon appearance, knock sound, and sweetness. It aims to promote research in non‑destructive watermelon quality assessment. The dataset consists of two parts: (1) wav files capturing the sound produced when watermelons are tapped, reflecting acoustic characteristics that may indicate internal structure and maturity; (2) jpg files showing external appearance, including color, texture, and shape. Additionally, sugar content measured with a refractometer is provided, allowing correlation with acoustic and visual features.
