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

Leaf Disease Classification on Embrapa Dataset (test)

0.28LossChen et al. [25]

Evaluation Results

Method	Links
Chen et al. [25]2025.12		0.28	93.19	94.33	93.47	93.9	99.08	0.94
CBAM-VGG162025.12		0.32	94.2	94.7	93.9	94.3	99.75	0.95
Thakur et al. [28]2025.12		0.34	93.83	94.78	93.21	93.99	99.68	0.94
Thakur et al. [27]2025.12		0.46	89.24	91.17	88.27	89.7	98.73	0.89
Yang et al.2025.12		0.62	88.48	90.91	86.53	88.67	99.51	0.88
Karthik et al.2025.12		0.77	80.29	83.07	78.38	80.6	97.8	0.82
Li et al.2025.12		0.9	73.17	79.23	67.59	72.95	98.38	0.72
Chen et al. [9]2025.12		1.11	73.63	80.12	67.86	73.48	98.02	0.73
Chen et al. [23]2025.12		1.12	74.88	82.93	66.06	73.18	98.2	0.75