ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet (val)
69.2AMI
22
ImageNet-1K standard (test val)
76.42Average Accuracy
22
miniImageNet (test)
83.12Accuracy
22
ImageNet-1K 64x64
41.6Top-1 Accuracy
22
ImageNet mobile setting
23.9Test Error
22
MiniImageNet ILSVRC-2012 (test)
83.26Accuracy
22
ImageNet 10% labels 1k (train)
91.9Top-5 Acc
22
ImageNet 1% labeled subset 1k (test)
93.2Top-1 Acc
22
ImageNet 64
3.42BPD
22
ImageNet ILSVRC 10% labeled examples 2012
77.5Top-1 Acc
22
ImageNet
0.954BERTScore F1 (c=0.002)
21
ImageNet-100 70% Compression (test)
84.82Top-1 Accuracy
21
ImageNet LT
42.85Clean Accuracy
21
ImageNet
100TPR
21
Tiny-ImageNet
60.26Clean Accuracy
21
ImageNet V2
65.68AUROC
21
ImageNet ES
88.24AUROC
21
ImageNet-R
90.31AUROC
21
ImageNet-C
89.25AUROC
21
ImageNet 1K
0.834Test Loss
21
ImageNet Tools
61.3FA
21
ImageNet 256
0.27rFID
21
ImageNet-100 10 tasks (test)
56.8FAA (%)
21
ImageNet (five repeated splits)
67.2Class Coverage
21
ImageNet 256x256
1.42FID
21