| Benchmark | Model | Rank | Results |
|---|---|---|---|
| fine-grained-image-classification-on-caltech-101 | VIT-L/16 | #1 | Top-1 Error Rate: 1.98% |
| image-classification-on-cinic-10 | VIT-L/16 (Spinal FC, Background) | #1 | Accuracy: 95.80 |
| image-classification-on-flowers-102 | VIT-L/16 (Background) | #2 | Accuracy: 99.75 |
| image-classification-on-cifar-100 | VIT-L/16 (Spinal FC, Background) | #12 | Percentage correct: 93.31 |
| image-classification-on-cifar-10 | VIT-L/16 (Spinal FC, Background) | #22 | Percentage correct: 99.05 |