| image-classification-on-cifar-10 | kEffNet-B0 32ch | #162 | Percentage correct: 93.75 |
| image-classification-on-cifar-10 | kMobileNet V3 Large 16ch | #170 | Percentage correct: 92.74 |
| image-classification-on-cifar-10 | kDenseNet-BC L100 12ch | #186 | Percentage correct: 90.83 |
| image-classification-on-cifar-10 | kMobileNet 16ch | #192 | Percentage correct: 89.81 |
| image-classification-on-cifar-100 | kMobileNet V3 Large 16ch | #160 | Percentage correct: 71.36PARAMS: 0.52M |
| image-classification-on-oxford-iiit-pets | kMobileNet V3 Large 16ch | #4 | Accuracy: 60.4PARAMS: 0.36MFLOPS: 81.0M |