ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet Cross-Dataset Evaluation Suite
72.77Source Domain Accuracy (ImageNet)
9
MINIIMAGENET as OOD
80.31AUROC
9
ImageNet-R
311Tau (Training)
9
ImageNet-1K (test)
75AUROC
9
ImageNet-1K 1% (reserved clean samples)
65.2ASR
9
T-ImageNet
26.5Accuracy
9
ImageNet-1K (val)
80.7Top-1 Acc (0% Occ)
9
ImageNet 1k mini (val)
0.669Area Score
9
ImageNet
0.669Area Score
9
ImageNet 1k-mini (test)
0.669Area Score
9
ImageNet V2
6.69FDR
9
ImageNet 1k (test)
8.17FDR
9
ImageNet-1K
75.9Top-1 Accuracy
9
Tiny-ImageNet
79.1Top-1 Accuracy
9
ImageNet 10
89AMI
9
ImageNet Functional Grounding (val)
100Accuracy
9
ImageNet-Sketch (test)
77.7Rejection Accuracy (90% Rej)
9
ImageNet-R (test)
94.4Accuracy @ 90% Rejection
9
ImageNet-1K 1.0 (train test)
80.25Acc (Train, Retained)
9
ImageNet-1K Retrained (val)
0.5Runtime (hours)
9
ImageNet
0.679CLIP Score
9
ImageNet-100 B50Inc5 (T=10) (test)
77.73Avg Accuracy
9
ImageNet-1K standard (test val)
13.56FID
9
ImageNet vs ImageNet-O
79.86AUROC
9
ImageNet 256x256 2012 400K iterations
3.89FID
9