Fine Grained Image Classification On Fruits
Metriken
Accuracy (%)
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy (%) |
|---|---|
| spinalnet-deep-neural-network-with-gradual-1 | 99.90 |
| progressivespinalnet-architecture-for-fc | - |
| a-comprehensive-study-on-torchvision-pre | 99.98 |