Image Classification on Food 251 (test)
0.77Top-1 AccuracyTResNet-L
Evaluation Results
| Method | Links | |
|---|---|---|
| TResNet-LPre-training Dataset=ImageNet-21K-P2021.04 | 0.77 | |
| TResNet-LPre-training Dataset=ImageNet-1K2021.04 | 0.763 | |
| TResNet-MPre-training Dataset=ImageNet-21K-P2021.04 | 0.761 | |
| TResNet-MPre-training Dataset=ImageNet-1K2021.04 | 0.751 | |
| ResNet50Pre-training Dataset=ImageNet-21K-P2021.04 | 0.74 | |
| OFA595Pre-training Dataset=ImageNet-21K-P2021.04 | 0.735 | |
| OFA595Pre-training Dataset=ImageNet-1K2021.04 | 0.729 | |
| ResNet50Pre-training Dataset=ImageNet-1K2021.04 | 0.722 | |
| MobileNetV3Pre-training Dataset=ImageNet-21K-P2021.04 | 0.703 | |
| MobileNetV3Pre-training Dataset=ImageNet-1K2021.04 | 0.701 |