| Benchmark | Model | Rank | Results |
|---|---|---|---|
| data-augmentation-on-imagenet | ResNet-50 (RA) | #14 | Accuracy (%): 77.6 |
| domain-generalization-on-vizwiz | EfficientNet-B7 (randaug) | #17 | Accuracy - All Images: 45Accuracy - Corrupted Images: 38.9… |
| domain-generalization-on-vizwiz | EfficientNet-B5 (randaug) | #25 | Accuracy - All Images: 42.1Accuracy - Corrupted Images: 35.5… |
| image-classification-on-imagenet | EfficientNet-B8 (RandAugment) | #223 | Top 1 Accuracy: 85.4% |
| image-classification-on-imagenet | EfficientNet-B7 (RandAugment) | #256 | Top 1 Accuracy: 85%Number of params: 66M |