Image Classification On Food 101N 1
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| label-retrieval-augmented-diffusion-models-1 | 93.42 |
| cleannet-transfer-learning-for-scalable-image | 90.39 |
| longremix-robust-learning-with-high | 87.39% |
| sure-survey-recipes-for-building-reliable-and | 88.0 |