Image Classification On Food 101 1
Métriques
Accuracy (%)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy (%) |
|---|---|
| bamboo-building-mega-scale-vision-dataset | 92.9 |
| transboost-improving-the-best-imagenet | 84.30 |
| with-a-little-help-from-my-friends-nearest | 76.7 |
| vision-models-are-more-robust-and-fair-when | 90.3 |
| image-and-text-fusion-for-upmc-food-101-using | 71.67 |
| self-supervised-learning-by-estimating-twin-1 | 89.3 |