ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet-1K (Disjoint)
34.33AAUC
9
ImageNet-1K 1.0 (val)
81.8Top-1 Accuracy
9
ImageNet-1K 1.0 (val)
84.1Top-1 Accuracy
9
ImageNet Segmentation 21 (test)
81.79Pixel Accuracy
9
Tiny-ImageNet-C Severity 5
31.67Accuracy
9
ImageNet-1K Superclasses (test)
90.22Accuracy
9
ImageNet (val)
78.1Accuracy
9
ImageNet-1K LAION2B (test)
98.5Acc (Many-shot)
9
ImageNet 1k (val)
80.2Top-1 Acc (1% labels)
9
ImageNet-1K 1.0 (val)
76.18ID Accuracy
9
ImageNet-1K Far-OOD 1.0 (test)
16.53FPR@95
9
ImageNet-1K Near-OOD 1.0 (test)
59.76FPR@95
9
ImageNet 30
99.9AUROC
9
ImageNet
24.3Top-1 Error
9
ImageNet-C-bar level 5 1.0
47.2Accuracy
9
ImageNet (test)
6.04FID
9
ImageNet 1K (val)
76.16Top-1 Acc
9
ImageNet-30 22K as OE (one vs. rest)
97.7Mean AUC
9
ImageNet 100 labels per class
40.36Top-1 Error Rate
9
ImageNet occ
74.6Accuracy
9
ImageNet Dog
48.3Clustering Accuracy
9
Tiny ImageNet General Setup (test)
47.45AR@1
9
Tiny ImageNet Blurry Setup (test)
35.46AR@1
9
Tiny ImageNet Disjoint Setup (test)
54.42AR@1
9
ImageNet-9 adversarial backgrounds
0.294Accuracy
9