ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet-C severity level 5 v1 (test)
63.6Accuracy (Gaussian)
22
ImageNet Nette
94.6Top-1 Accuracy
22
Tiny-ImageNet
47.86Clean Accuracy
22
ImageNet A-Plus
54.85Top-1 Accuracy
22
ImageNet ID Clean Adv
82.85Top-1 Accuracy
22
ImageNet I-Yellow (test)
78.9Accuracy
22
ImageNet
40.43AUC-D
22
ImageNet (novel classes)
1.49ECE
22
ImageNet 1k (val)
70.64Zero-Shot Top1 Acc
22
ImageNet-C
11.1AURC
22
ImageNet V2
1.03NAURC
22
ImageNet 1k (val)
80.5Linear Probing Accuracy
22
Tiny ImageNet (test)
63.27Standard Accuracy
22
ImageNet 20 (test)
75.69Balanced Accuracy
22
OpenOOD ImageNet-1K v1 (test)
93.5SSB-Hard
22
ImageNet Segmentation
85.78Pixel Accuracy
22
ImageNet 2015 (test)
0.806AOPC
22
ImageNet (INet) (test)
95.4IMS
22
ImageNet base-to-novel
80.89Base Score
22
ImageNet-1k 1.0 (val)
85.8Accuracy
22
ImageNet-1K Dfar
95.74AUROC (%)
22
ImageNet-C 1.0 (test)
65.38Accuracy
22
ImageNet shift
69.6Accuracy
22
S-Tiny-ImageNet
60.18Accuracy
22
ImageNet-100
10.5Average FPR95
22