Ophthalmic Disease Classification on The Eye Disease Image Dataset (val) benchmark leaderboard · SOTA2 Research

Ophthalmic Disease Classification on The Eye Disease Image Dataset (val)

99.45AUCProposed Model

Evaluation Results

Method	Links
Proposed Model2025.05		99.45	98.28	0.0446	98.27	94.25	100
ViT2025.05		99.14	88.73	0.3568	92.31	84.51	100
DeiT2025.05		98.73	87.32	0.3729	88.49	86.62	100
DeiT-x2025.05		98.64	88.73	0.382	88.24	84.51	100
Swin Transformer2025.05		98.55	88.03	0.4245	90	82.39	100
Efficient Former2025.05		98.33	81.69	0.449	85.04	76	100
DINOv22025.05		97.81	85.92	0.4473	88.06	83.1	96.48
ViTMAE2025.05		87.93	50	1.2781	79.31	16.2	73.94
SegFormer2025.05		87.77	52.82	1.2016	67.61	33.8	98.59
ConvNeXt V22025.05		86.67	52.11	1.2515	55.41	28.87	75.3
RegNet2025.05		85.67	50.7	1.3077	65.79	17.61	95.77
CvT2025.05		80.78	41.55	1.5232	31.03	6.34	98.59