ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet-1K 1.0 (test)
83.9Accuracy (Clean)
17
ImageNet
71.63Leaf Accuracy
17
ImageNet 100 (test)
91.4Task 10 Accuracy
17
ImageNet-4K 1.0 (test)
30.87Top-1 Accuracy
17
ImageNet and ImageNet-V2
81.9ImageNet Accuracy
17
ImageNet 256x256 1k (train val)
2.27FID
17
ImageNet-1K (test)
69.46Avg Accuracy
17
ImageNet-9 Backgrounds Challenge
98.4Accuracy (Original IN-9)
17
ImageNet-1K (val)
83.4Top-1 Accuracy
17
ImageNet original (val)
82.05Inductive Top-1 Accuracy
17
Tiny-ImageNet-200
30.5ACC
17
ImageNet-S (test)
63.3mIoU
17
ImageNet-S 1.0 (test)
88Top-1 Accuracy
17
TinyImageNet
0.954AUROC (Clean)
17
ImageNet mini
77.8Acc (Unbalanced, 1-shot)
17
MiniImageNet
48.12Acc (1-shot)
17
TinyImageNet (test)
49Score_120
17
ImageNet-C 1.0 (val)
49.17Top-1 Acc
17
ImageNet (train val)
83.9Precision
17
ImageNet 100% labels 1.0 (val)
78.6Top-1 Acc
17
ImageNet B 2012 (val)
80.86Estimated Accuracy
17
ImageNet 64x64
3.43Bits/Dim
17
ImageNet-S v1 (val)
38.43Accuracy
17
ImageNet-1K 1.0 (val)
4.4Latency (ms)
16
ImageNet 1K (val)
-50.06Delta Parameters (%)
16