Fine Grained Image Classification On Foodx
評価指標
Accuracy (%)
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
モデル名 | Accuracy (%) | Paper Title | Repository |
|---|---|---|---|
| VOLO-D5 | 79.15 | Learning Multi-Subset of Classes for Fine-Grained Food Recognition | |
| CSWin-L | 79.90 | Learning Multi-Subset of Classes for Fine-Grained Food Recognition |
0 of 2 row(s) selected.