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ResearchFormerly WizWand

Fitzpatrick

Benchmarks

TaskDatasetSOTA resultTrendResults

Fairness-aware Conformal Prediction

Fitzpatrick

5.293Efficiency

56

Fair Conformal Prediction

Fitzpatrick

2.356Efficiency

24

Image Classification

Fitzpatrick17k

82.76Accuracy

24

Dermatological disease classification

Fitzpatrick-17k (test)

56.7Precision

24

Skin Lesion Classification

Fitzpatrick-17k (test)

0.879Accuracy

17

Skin tone classification

Fitzpatrick17k

82.34Acc (I–II)

13

Skin Disease Classification

Fitzpatrick 17k In-domain

78.45F1 Score

12

Skin Disease Classification

Fitzpatrick17k (in-domain)

88.6Accuracy (Avg)

11

Medical Image Synthesis Evaluation

Fitzpatrick17k (test)

49.2CAS

10

Dermatological diagnosis

Fitzpatrick17k

29.19Top-1 Accuracy

9

Malignant Lesion Detection

Fitzpatrick17k (test)

82EOM

8

Eczema vs Psoriasis Classification

Fitzpatrick17k (Internal)

88PQD Score

8

Fitzpatrick17K 15K seller (train)

0.67MSE

8

Model fairness evaluation

Fitzpatrick-17k

3.76ESSP

7

Concept Classification

Fitzpatrick17k

92.73Accuracy

7

Diagnosis Classification

Fitzpatrick17k

83.44Accuracy

7

Disease Classification

Fitzpatrick17k 1.0 (test)

81.52Test Accuracy

7

Fitzpatrick17k (train)

40.5PSNR

6

Fitzpatrick17k (test)

90.11AUC

6

Fitzpatrick17k Dc (test)

78.63AUC

4

Concept Prediction

Fitzpatrick17k subset Dc (test)

80.45AUC

4

Checklist auditing

Fitzpatrick

58.6Checklist Pass Rate

3

Skin Condition Image Classification

Fitzpatrick 17k (Out-Domain Split C)

0.776Accuracy Avg

2

Skin Condition Image Classification

Fitzpatrick 17k (Out-Domain Split B)

82.4Accuracy (Avg)

2

Skin Condition Image Classification

Fitzpatrick 17k (Out-Domain Split A)

84Accuracy (Avg)

2