Research Article
Accurate Multilevel Classification for Wildlife Images
Table 1
Results on flat classification for different convolutional backbones and data augmentation.
| ID | Conv. backbone | Resolution | Data augmentation | Top-1 | Top-5 |
| BA | ResNet50 | 250 × 250 | No | 0.27 | 0.62 | BB | ResNet50 | 250 × 250 | Standard | 0.45 | 0.73 | BC | InceptionV3 | 250 × 250 | No | 0.34 | 0.63 | BD | InceptionV3 | 250 × 250 | Standard | 0.46 | 0.75 | BE | DenseNet201 | 250 × 250 | No | 0.33 | 0.64 | BF | DenseNet201 | 250 × 250 | Standard | 0.51 | 0.77 | BG | EfficientNetB5 | 250 × 250 | No | 0.36 | 0.65 | BH | EfficientNetB5 | 250 × 250 | Standard | 0.53 | 0.8 |
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