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

Leaf Disease Classification on Rice Dataset (test)

98.87AccuracyCBAM-VGG16

Evaluation Results

Method	Links
CBAM-VGG162025.12		98.87	0.01	98.87	98.87	98.87	99.94	0.99
Bhuyan et al.2025.12		98.41	—	98.58	98.39	98.19	—	—
Thakur et al. [28]2025.12		98.1	0.03	98.11	98.1	98.1	99.93	0.98
Thakur et al. [27]2025.12		97.59	0.04	97.59	97.59	97.59	99.88	0.97
Chen et al. [25]2025.12		97.2	0.08	97.31	97.2	97.2	99.81	0.97
Karthik et al.2025.12		96.3	0.13	96.41	96.3	96.3	99.76	0.96
Yang et al.2025.12		95.67	0.14	95.79	95.67	95.67	99.84	0.95
Chen et al. [23]2025.12		95.06	0.14	95.19	95.06	95.06	99.41	0.95
Li et al.2025.12		91.01	0.54	92.69	91.01	91.01	99.61	0.91
Chen et al. [9]2025.12		85.92	0.45	89.25	85.92	85.96	98.9	0.86