Leaf Disease Classification on Maize Dataset (test) benchmark leaderboard · SOTA2 Research

Leaf Disease Classification on Maize Dataset (test)

95AccuracyCBAM-VGG16

Evaluation Results

Method	Links
CBAM-VGG162025.12		95	0.12	95.05	95	95.01	99.62	0.93
Alpsalaz et al.2025.12		94.97	—	—	—	—	—	—
Thakur et al. [27]2025.12		92.59	0.34	93.67	91.36	92.5	97.21	0.9
Thakur et al. [28]2025.12		92.59	0.04	92.59	92.59	92.59	96.27	0.9
Chen et al. [25]2025.12		91.36	0.54	91.36	91.36	91.36	97.29	0.89
Chen et al. [23]2025.12		88.89	0.5	91.03	87.65	87.65	96.78	0.85
Chen et al. [9]2025.12		87.65	0.6	87.65	87.65	87.65	96.03	0.84
Yang et al.2025.12		76.54	1.52	78.48	76.54	77.5	94.53	0.69
Karthik et al.2025.12		54.32	1.17	59.72	53.09	56.21	83.19	0.39
Li et al.2025.12		50.62	1.38	51.47	43.21	46.98	72.47	0.34