arXiv Machine Learning August 13, 2026 By Giancarlo Sportelli, Nicola Belcari, Roberta Pace, Umberto Bernardo, Sharmin Sultana, Alessandra Toncelli, Matteo Giaccone

Automated binary classification of hazelnut X-ray images: A deep-learning benchmark for quality assessment

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arXiv:2608. 11759v1 Announce Type: cross Abstract: Non-destructive X-ray imaging can reveal internal hazelnut defects that are difficult to detect by external inspection alone; however, automated interpretation remains challenging because of subtle radiographic differences among classes, marked class imbalance, and limited annotated data.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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