animals
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | ANIMALS10 Dp: ImageNet (downstream test) | BA98.61 | 22 | |
| Image Classification | ANIMALS10 CIFAR10 downstream (test) | BA98.86 | 22 | |
| Image Classification | Animals | Accuracy99.67 | 20 | |
| Shape classification | Animals | Accuracy100 | 5 | |
| Image Classification | Animals (test) | Accuracy80.66 | 4 | |
| Image Classification | ANIMALS10 (test) | W-MSE80.39 | 2 | |
| Classification | ANIMALS10 (test) | RA89.01 | 2 | |
| Image Classification | ANIMALS10 | Avg BA96.83 | 2 | |
| Artifact Mitigation | animals dataset | CLIP-T Score39.598 | 2 | |
| Text-to-Image Generation | animals 1.0 (dev) | Metric- | 0 |
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