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

Leaf Disease Classification on Apple Dataset (test)

95.42AccuracyCBAM-VGG16

Evaluation Results

Method	Links
CBAM-VGG162025.12		95.42	0.41	95.27	95.42	95.27	99.05	90
Thakur et al. [28]2025.12		94.62	0.43	94.62	94.62	94.62	98.08	92
Tong Li et al.2025.12		93.89	—	93.84	—	93.8	—	—
Thakur et al. [27]2025.12		93.55	0.3	93.55	93.55	93.55	97.01	91
Chen et al. [25]2025.12		87.1	0.73	87.1	87.1	87.1	95.02	81
Yang et al.2025.12		85.48	0.49	85.71	83.87	84.78	96.44	79
Chen et al. [9]2025.12		83.33	0.79	83.7	82.8	83.25	94.1	76
Chen et al. [23]2025.12		83.33	0.63	85.47	82.26	83.83	95.59	76
Karthik et al.2025.12		62.37	1.56	62.84	61.83	62.35	83.53	45
Li et al.2025.12		41.94	1.34	44.59	35.48	39.52	71.68	16