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BloodMNIST

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationBloodMNIST (test)
Accuracy96.71
34
8-class classificationBloodMNIST
Accuracy99
33
Medical Image ClassificationBloodMNIST
AUC100
18
Medical Image ClassificationBloodMNIST
Balanced Accuracy93.4
16
Image ClassificationBloodMNIST balanced (test)
Balanced Accuracy98.5
16
Federated Image ClassificationBloodMNIST (test)
Average Global Accuracy64.5
12
Image ClassificationBloodMNIST v2 (test)
AUC99.8
12
ClassificationBloodMNIST v1 (test)
Accuracy96
12
ClassificationBloodMNIST (test)
Coverage91.2
11
ClassificationBloodMNIST
Accuracy80.06
10
Medical Image ClassificationBloodMNIST
Accuracy70.15
10
Image ClassificationBloodMNIST
Top-1 Accuracy96.23
10
Image ClassificationBloodMNIST 2-way sharded (test)
Test Accuracy91
9
Image Classification CalibrationBloodMNIST
NLL0.3119
9
Out-of-Distribution DetectionBloodMNIST
ID Accuracy90.21
8
Open-Set RecognitionBloodMNIST t=5 (test)
Accuracy98.5
8
Medical Image ClassificationBloodMNIST (test)
Accuracy (alpha=0.6)94.15
6
Model Editingbloodmnist
ΔACC (pp)3.27
6
Image ClassificationBloodMNIST C
Accuracy77
6
Image ClassificationBloodMNIST 28x28 (val)
AUC0.996
3
Image ClassificationBloodMNIST MedMNIST (test)
Accuracy95.01
2
Multi-Instance Learning ClassificationBloodMNIST v2 (test)
Metric-
0
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