DragonFruitQualityNet, a 30.7M-parameter CNN, reports 93.98% training accuracy for four-class dragon fruit grading, but only 74.91% validation accuracy, without a held-out test set.
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DragonFruitQualityNet: A Lightweight Convolutional Neural Network for Real-Time Dragon Fruit Quality Inspection on Mobile Devices
DragonFruitQualityNet, a 30.7M-parameter CNN, reports 93.98% training accuracy for four-class dragon fruit grading, but only 74.91% validation accuracy, without a held-out test set.