SkinCon
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Concept Annotation | SkinCon | F1-Macro32.95 | 11 | |
| Concept Annotation | SkinCon (test) | AUROC0.7873 | 11 | |
| Disease Diagnosis | SkinCon (test) | Class Accuracy77.88 | 10 | |
| Multiple-choice VQA | SKINCON | Accuracy75.2 | 10 | |
| Concept Prediction | SkinCon | AUC (%)82.6 | 10 | |
| Concept Detection | SkinCon (test) | Concept Accuracy90.43 | 9 | |
| Skin disease diagnosis | SkinCon 1.0 (test) | AUC80.85 | 9 |
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