ImageNet
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
ImageNet-1K
83.9Top-1 Accuracy
7
ImageNet-A
94cACC
7
ImageNet In-Distribution
96cACC
7
Bing -> Imagenet
75Accuracy
7
ImageNet-1K (val)
24Accuracy (1 img/cls)
7
ImageNet-P
12.2mFR
7
ImageNet-10 (test)
0.796Model Score
7
Tiny ImageNet 20 tasks, 5 classes per task (val)
55.5AN
7
ImageNet-1K 22K pre-trained (val)
87.3Top-1 Accuracy
7
ImageNet-S50
0.569EBPG
7
ImageNet-1K
51.78Clean Accuracy
7
Tiny-ImageNet
52.71Data Transmission Volume (GB)
7
IMAGENET (val)
80.4Certified Accuracy (Radius 0.0)
7
ImageNet 1k (val)
0.826Top-1 Accuracy
7
ImageNet
66.68Top-1 Accuracy
7
TinyImageNet
0.391Accuracy
7
ImageNet-R (test)
58.3TextVQA
7
ImageNet-R
70.8TextVQA
7
ImageNet 50% labels
82.9Top-1 Acc
7
ImageNet-1k 2nd-level superclasses 1.0 (test)
70.64AuROC
7
ImageNet-1k 1st-level superclasses 1.0 (test)
77.34AuROC
7
ImageNet-A (test)
0.761AuROC
7
ImageNet-C (test)
83.51AuROC
7
ImageNet V2 (test)
86.19AuROC
7
ImageNet 256x256 400K iterations (test)
11.36FID
7