ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet InceptionV3
19.6Model Size (MB)
6
ImageNet-1k
0.091MSE
6
ImageNet Variants Average (target)
61.63Accuracy
6
ImageNet
82.55Top-1 Accuracy
6
ImageNet Domain Conversion
19.2Recall@10 (Cartoon)
6
ImageNet-OOD Avg
47.2Avg Accuracy
6
ImageNet-R
58.9Accuracy
6
ImageNet
60.9Accuracy
6
ImageNet
70.761-shot Acc
6
ImageNet-10
-0.055MIDPUT_conf
6
ImageNet-50 5 tasks (test)
89.8Avg Accuracy
6
Tiny ImageNet 20 tasks, 5 classes per task (test)
55.5AN Score
6
ImageNet 1K (val)
0.022MSE
6
ImageNet 1K (val)
0.027MSE
6
ImageNet (val)
201.6Epochs
6
ImageNet1K
94.41Recall@10
6
ImageNet 256 100 images (val)
0.044LPIPS
6
ImageNet 256 100 images (val)
0.068LPIPS
6
ImageNet 256 100 images (val)
0.434LPIPS
6
ImageNet (train val)
0.6Search Cost (GPU-days)
6
ImageNet 640 samples (val)
196,900Kappa^2
6
ImageNet30 (test)
88.2Averaged Accuracy (Severity 0)
6
ImageNet 1k (val)
57Clean Accuracy (eps=36/255)
6
Tiny-ImageNet (test)
45.5Clean Accuracy
6
ImageNet-10
86Dendrogram Purity
6