ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
Split ImageNet-100 50 tasks
47.94Classification Accuracy (CA)
6
Split ImageNet-100 (20 tasks)
47.99Accuracy (CA)
6
ImageNet 256x256
25.21PSNR
6
ImageNet 256x256
25.05PSNR
6
ImageNet 2009 (test)
64.05Accuracy
6
ImageNet-A N = 20
66.53Average Accuracy
6
ImageNet-1k
51.5Corruption Accuracy
6
ImageNet (NM G)
100AUC
6
ImageNet-16-120 @5 (sequential splits)
53.02Accuracy
6
Mini-ImageNet
0.43DiffID
6
ImageNet-1k
76.97Accuracy
6
TinyImageNet
75.25Accuracy
6
Tiny ImageNet
75.25Accuracy
6
ImageNet-100-adv (test)
22.356Adversarial Error
6
ImageNet
77.5Accuracy
6
Imagenet Small (test)
8.8Average Prediction Set Size
6
ImageNet-1K
76.4Accuracy (%)
6
TinyImageNet
36.22Task 1 Performance
6
ImageNet 2015
5.8FID
6
ImageNet (test)
88.9Top-5 Accuracy
6
Tiny-ImageNet
18.21ASR
6
ImageNet-1k naflex (val)
48.22SigLIP Accuracy
6
ImageNet 1k 384^2 (val)
69.02Top-1 Accuracy
6
ImageNet 1k
83.3Top-1 Accuracy (ImageNet-1k)
6
ImageNet 1024x1024 (val)
1.87rFID
6