YOLO-ODD: An improved YOLOv8s model for onion foliar disease detection,

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cs.CV · 2025-09-01 · conditional · novelty 4.0

A DenseNet-121 model with CBAM attention, weighted cross-entropy, and CutMix achieves 96.90% accuracy on an eight-class onion disease image dataset.

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Handling imbalance and few-sample size in ML based Onion disease classification cs.CV · 2025-09-01 · conditional · none · ref 3
A DenseNet-121 model with CBAM attention, weighted cross-entropy, and CutMix achieves 96.90% accuracy on an eight-class onion disease image dataset.