ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet-LT (test)
67.2AUC (All)
9
ImageNet-1K (val)
9.18ResNet-18 Result
9
ImageNet 128x128 (train)
30.83FID
9
ImageNet 1k (real)
88.6Top-1 Accuracy
9
ImageNet (val)
3.23Positive Map Density (p+map)
9
ImageNet (val)
14.68FID
9
ImageNet (ctest10k)
0.125LPIPS
9
ImageNet 32x32
0.001Sampling Time (s)
9
ImageNet (val)
74.6Top-1 Accuracy
9
ImageNet 10k images (val)
100AuC (non-rebalanced)
9
ImageNet-1K-C
97.2AUROC
9
ImageNet-1K
1.56Latency (ms)
9
ImageNet 256x256 1k (test val)
1.93FID
9
ImageNet-1K
66.2Accuracy (Natural)
8
ImageNet-100
96.21Accuracy (Offline, All)
8
TinyImageNet
85.86Accuracy (Offline, All)
8
ImageNet-1K
85Top-1 Accuracy
8
TinyImageNet
81Accuracy
8
ImageNet 1024x1024 (test val)
0.11rFID
8
ImageNet-R
75.84iNaturalist Accuracy (S)
8
ImageNet V2
59.84Accuracy (iNaturalist, S)
8
ImageNet-A
48.85iNaturalist Accuracy (S)
8
ImageNet-S
43.23Accuracy (iNaturalist, Severity S)
8
ImageNet-1k
67.72iNaturalist Acc_S
8
ImageNet
78.45Accuracy
8