| image-classification-on-df20 | ViT-Large/16 (384) | #1 | Top-1: 80.45Top-3: 91.68F1 - macro: 0.743 |
| image-classification-on-df20 | ViT-Base/16 (384) | #2 | Top-1: 79.48Top-3: 90.95F1 - macro: 0.727 |
| image-classification-on-df20 | SE-ResNeXt-101-32x4d | #3 | Top-1: 77.13 |
| image-classification-on-df20 | EfficientNet-B5 (299) | #4 | Top-1: 76.1Top-3: 88.85F1 - macro: 0.678 |
| image-classification-on-df20 | EfficientNet-B3 (299) | #5 | Top-1: 75.69Top-3: 88.72F1 - macro: 0.673 |
| image-classification-on-df20 | ViT-Large/16 (224) | #6 | Top-1: 75.29Top-3: 88.34F1 - macro: 0.675 |
| image-classification-on-df20 | SE-ResNeXt-101-32x4d (224) | #7 | Top-1: 74.26Top-3: 87.78F1 - macro: 0.66 |
| image-classification-on-df20 | EfficientNet-B1 (299) | #8 | Top-1: 74.08Top-3: 87.68F1 - macro: 0.654 |
| image-classification-on-df20 | Inception-ResNet-V2 (299) | #9 | Top-1: 74.01Top-3: 87.49F1 - macro: 0.651 |
| image-classification-on-df20 | EfficientNet-B0 (299) | #10 | Top-1: 73.65 |
| image-classification-on-df20 | ResNet-50 (299) | #11 | Top-1: 73.49Top-3: 87.13 |
| image-classification-on-df20 | Inception-V4 (299) | #12 | Top-1: 73Top-3: 86.87F1 - macro: 0.637 |
| image-classification-on-df20 | EfficientNet-B3 (224) | #13 | Top-1: 72.51Top-3: 86.77F1 - macro: 0.634 |
| image-classification-on-df20 | Inception-V3 (299) | #14 | Top-1: 72.1Top-3: 86.58 |
| image-classification-on-df20 | EfficientNet-B0 (224) | #15 | Top-1: 70.33Top-3: 85.19F1 - macro: 0.613 |
| image-classification-on-df20 | MobileNet-V2 (299) | #16 | Top-1: 69.77Top-3: 85.01 |
| image-classification-on-df20 | ResNet-18 | #17 | Top-1: 67.13Top-3: 82.65F1 - macro: 0.580 |
| image-classification-on-df20 | SE-ResNeXt-101-32x4d (299) | #18 | Top-3: 89.48F1 - macro: 0.693 |
| image-classification-on-df20 | ResNet-34 (299) | #19 | Top-3: 84.76F1 - macro: 0.60 |
| image-classification-on-df20-mini | ViT-Large/16 (384) | #1 | Top-1: 75.85Top-3: 89.95F1 - macro: 0.669 |
| image-classification-on-df20-mini | ViT-Base/16 (384) | #2 | Top-1: 74.23Top-3: 89.12F1 - macro: 0.639 |
| image-classification-on-df20-mini | SE-ResNeXt-101-32x4d | #3 | Top-1: 72.23 |
| image-classification-on-df20-mini | ViT-Large/16 (224) | #4 | Top-1: 71.04Top-3: 86.15F1 - macro: 0.603 |
| image-classification-on-df20-mini | EfficientNet-B3 (299) | #5 | Top-1: 69.59Top-3: 85.55F1 - macro: 0.59 |
| image-classification-on-df20-mini | SE-ResNeXt-101-32x4d (224) | #6 | Top-1: 68.87Top-3: 85.14F1 - macro: 0.585 |
| image-classification-on-df20-mini | EfficientNet-B5 (299) | #7 | Top-1: 68.76Top-3: 85 |
| image-classification-on-df20-mini | ResNet-50 (299) | #8 | Top-1: 68.49Top-3: 85.22 |
| image-classification-on-df20-mini | EfficientNet-B1 (299) | #9 | Top-1: 68.35Top-3: 84.67 |
| image-classification-on-df20-mini | EfficientNet-B0 (299) | #10 | Top-1: 67.94Top-3: 85.71F1 - macro: 0.567 |
| image-classification-on-df20-mini | Inception-V4 (299) | #11 | Top-1: 67.45Top-3: 82.78 |
| image-classification-on-df20-mini | EfficientNet-B3 (224) | #12 | Top-1: 67.39Top-3: 83.74F1 - macro: 0.55 |
| image-classification-on-df20-mini | Inception-V3 (299) | #13 | Top-1: 65.91Top-3: 82.97F1 - macro: 0.535 |
| image-classification-on-df20-mini | EfficientNet-B0 (224) | #14 | Top-1: 65.66Top-3: 83.65F1 - macro: 0.531 |
| image-classification-on-df20-mini | MobileNet-V2 (299) | #15 | Top-1: 65.58 |
| image-classification-on-df20-mini | Inception-ResNet-V2 (299) | #16 | Top-1: 64.67Top-3: 81.42 |
| image-classification-on-df20-mini | ResNet-18 | #17 | Top-1: 62.91Top-3: 81.65F1 - macro: 0.514 |
| image-classification-on-df20-mini | SE-ResNeXt-101-32x4d (299) | #18 | Top-3: 87.28F1 - macro: 0.62 |
| image-classification-on-df20-mini | ResNet-34 (299) | #19 | Top-3: 83.52F1 - macro: 0.559 |