Traffic Sign Recognition On Gtsrb
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy |
|---|---|
| deep-neural-network-for-traffic-sign | 99.71% |
| micronnet-a-highly-compact-deep-convolutional | 98.9% |
| seqnet-sequential-networks-for-one-shot | 99.66% |
| sill-net-feature-augmentation-with-separated | 99.68% |
| vision-models-are-more-robust-and-fair-when | 90.71% |