Classification On N Imagenet Mini
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 | 53.52 |
| n-imagenet-towards-robust-fine-grained-object-1 | 60.46 |
| n-imagenet-towards-robust-fine-grained-object-1 | 59.74 |
| n-imagenet-towards-robust-fine-grained-object-1 | 61.42 |
| n-imagenet-towards-robust-fine-grained-object-1 | 61.02 |
| n-imagenet-towards-robust-fine-grained-object-1 | 58.38 |