Classification On N Imagenet
Métriques
Accuracy (%)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy (%) |
|---|---|
| n-imagenet-towards-robust-fine-grained-object-1 | 48.43 |
| n-imagenet-towards-robust-fine-grained-object-1 | 44.32 |
| n-imagenet-towards-robust-fine-grained-object-1 | 46.36 |
| n-imagenet-towards-robust-fine-grained-object-1 | 45.86 |
| n-imagenet-towards-robust-fine-grained-object-1 | 45.77 |
| n-imagenet-towards-robust-fine-grained-object-1 | 47.14 |
| n-imagenet-towards-robust-fine-grained-object-1 | 47.90 |
| n-imagenet-towards-robust-fine-grained-object-1 | 48.93 |
| n-imagenet-towards-robust-fine-grained-object-1 | 47.73 |