Image Classification On Food 101N 1
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
Model Name | 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 |