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Fitzpatrick

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationFitzpatrick17k
Accuracy82.76
24
Dermatological disease classificationFitzpatrick-17k (test)
Precision56.7
24
Skin Lesion ClassificationFitzpatrick-17k (test)
Accuracy0.8791
17
Skin tone classificationFitzpatrick17k
Acc (I–II)82.34
13
Skin Disease ClassificationFitzpatrick 17k In-domain
F1 Score78.45
12
Skin Disease ClassificationFitzpatrick17k (in-domain)
Accuracy (Avg)88.6
11
Dermatological diagnosisFitzpatrick17k
Top-1 Accuracy29.19
9
Malignant Lesion DetectionFitzpatrick17k (test)
EOM82
8
Eczema vs Psoriasis ClassificationFitzpatrick17k (Internal)
PQD Score88
8
RegressionFitzpatrick17K 15K seller (train)
MSE0.67
8
Disease ClassificationFitzpatrick17k 1.0 (test)
Test Accuracy81.52
7
ReconstructionFitzpatrick17k (train)
PSNR40.5
6
DiagnosisFitzpatrick17k (test)
AUC90.11
6
DiagnosisFitzpatrick17k Dc (test)
AUC78.63
4
Concept PredictionFitzpatrick17k subset Dc (test)
AUC80.45
4
Skin Condition Image ClassificationFitzpatrick 17k (Out-Domain Split C)
Accuracy Avg0.776
2
Skin Condition Image ClassificationFitzpatrick 17k (Out-Domain Split B)
Accuracy (Avg)82.4
2
Skin Condition Image ClassificationFitzpatrick 17k (Out-Domain Split A)
Accuracy (Avg)84
2
Showing 18 of 18 rows