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Benchmarks
Disease Classification on DermNet (test)
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82.66
Accuracy
MAKE
11.3472
29.8611
48.375
66.8889
May 14, 2025
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
MAKE
Pretrain Data=Derm1M+,...
2025.05
82.66
CLIP
Pretrain Data=Derm1M,...
2025.05
75.08
CLIP
Pretrain Data=Derm1M+,...
2025.05
74.35
SigLIP
Pretrain Data=Derm1M,...
2025.05
71.62
CoCa/ViT-B-32
Pretrain Data=Derm1M+,...
2025.05
69.11
SigLIP
Pretrain Data=Derm1M+,...
2025.05
52.82
BiomedCLIP
Pretrain Data=PMC-15M,...
2025.05
19.54
CLIP
Pretrain Data=CLIP400M...
2025.05
17.38
MONET
Pretrain Data=PubMed+T...
2025.05
16.31
PMC-CLIP
Pretrain Data=PMC-OA,...
2025.05
14.58
CoCa/ViT-B-32
Pretrain Data=Derm1M,...
2025.05
14.09
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