| Training Data | Method | input | Top-1 Val. Accuracy (%) | epoch |
|---|---|---|---|---|
| Labeled train images | ResNet-50 | 31.00 | - | |
| Labeled train images | resnet-101 | 34.02 | 199 | |
| Labeled train images | resnet-152 | 39.6 | 59 | |
| Labeled train images | eff_b1 | 36.29 | 199 | |
| Labeled train images | eff_b3b | 42.00 | 199 | |
| Labeled train images | eff_b4b | 360x360 | 44.98 | 149 |
| Labeled train images | eff_b4b | 800x800 | 46.67 | 18 |
| images per category | >=5 | >10 | >20 | >30 | >40 | >50 | >60 | >70 | >80 |
|---|---|---|---|---|---|---|---|---|---|
| categories | 810 | 329 | 126 | 45 | 18 | 9 | 5 | 2 | 0 |
| kNN(k) | threshold | images | classes |
|---|---|---|---|
| 80 | 0.5 | 147427 | 79002 |
| 60 | 0.5 | 126985 | 56353 |
| 50 | 0.5 | 114147 | 42492 |
| 40 | 0.5 | 98625 | 29010 |