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Leeds Beckett University
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SGNet achieves near-perfect freshness classification with a fraction of the parameters of conventional models, paving the way for real-time applications in food safety.
Achieving 72.3% accuracy in freshness prediction with just three labeled days per fillet reveals a breakthrough in few-shot learning for food quality assessment.
