Image Classification on Dermatology
56.76AccuracyBIOMEDICA
Evaluation results
| Method | Links | |
|---|---|---|
| BIOMEDICAVision Encoder=ViT-L, Text Encoder=GPT2, Zero-shot=true2026.02 | 56.76 | |
| PhenoLIPVision Encoder=ViT-B, Text Encoder=PubmedBert, Zero-shot=true2026.02 | 55.08 | |
| BiomedCLIPVision Encoder=ViT-B, Text Encoder=PubmedBert, Zero-shot=true2026.02 | 47.59 | |
| PMC-CLIPVision Encoder=ResNet50, Text Encoder=PubmedBert, Zero-shot=true2026.02 | 41.35 | |
| OpenCLIPVision Encoder=ViT-B, Text Encoder=GPT2, Zero-shot=true2026.02 | 14.77 | |
| CoCaVision Encoder=ViT-B, Text Encoder=GPT2, Zero-shot=true2026.02 | 12.63 | |
| SigLIP2Vision Encoder=So400m, Text Encoder=SigLIP64, Zero-shot=true2026.02 | 11.31 |