PAD-UFES
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Medical image classification | PAD-UFES-20 | Accuracy76.3 | 20 | |
| Classification | PAD-UFES-20 (cross-validation) | Macro F163.74 | 9 | |
| Classification | PAD-UFES-20 (PU20) (test) | Accuracy85.22 | 8 | |
| Medical image classification | PAD-UFES-20 (test) | Accuracy76.3 | 8 | |
| Multi-class skin lesion classification | PAD-UFES | ROC0.956 | 7 | |
| Skin lesion classification | PAD-UFES-20 v1 (test) | Accuracy88 | 7 | |
| Skin Disease Classification | PAD-UFES-20 (5-fold cross-validation) | Accuracy75 | 7 | |
| Skin Lesion Classification | PAD-UFES-20 | Energy Consumption (J/sample)0.18 | 3 | |
| Image Classification | PAD-UFES-20 | Delta WG TPR (Heavy)-0.2 | 3 | |
| Multimodal Understanding | PAD-UFES-20 | Accuracy88 | 3 | |
| Classification | PAD-UFES-20 image-level split | Accuracy88 | 2 | |
| Classification | PAD-UFES-20 (patient-level split) | Accuracy78.8 | 1 |
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