| Benchmark | Model | Rank | Results |
|---|---|---|---|
| image-classification-on-cifar-10 | Mobile Net_Sam | #130 | Percentage correct: 95.50 |
| image-classification-on-imagenet | MobileNetV2 (1.4) | #908 | Top 1 Accuracy: 74.7%Number of params: 6.9MGFLOPs: 1.170 |
| image-classification-on-imagenet | MobileNetV2 | #940 | Top 1 Accuracy: 72%Number of params: 3.4MGFLOPs: 0.600 |
| retinal-oct-disease-classification-on | MobileNet-v2 | #7 | Acc: 97.46 |
| retinal-oct-disease-classification-on-oct2017 | MobileNet-v2 | #8 | Acc: 98.5Sensitivity: 99.4 |
| semantic-segmentation-on-dada-seg | MobileNetV2 | #27 | mIoU: 16.05 |