| Benchmark | Model | Rank | Results |
|---|---|---|---|
| image-classification-on-cifar-10 | kEffNet-B0 V2 32ch + H Flip | #140 | Percentage correct: 94.95 |
| image-classification-on-malaria-dataset | kEffNet-B0 V2 16ch | #1 | Acc. (test): 97.61%PARAMS: 0.61M |
| image-classification-on-malaria-dataset | kEffNet-B0 V2 2ch | #3 | Acc. (test): 96.70%PARAMS: 0.3M |