Image Classification on Insects-1M
93.25AccuracyBioAutoML-NAS
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| BioAutoML-NAS2025.10 | 93.25 | 93.71 | 92.74 | 93.22 | |
| BioAutoML-NAS2025.10 | 93.25 | 93.71 | 92.74 | 93.22 | |
| NAO2025.10 | 84.95 | 85.3 | 84.5 | 84.89 | |
| ENAS2025.10 | 83.4 | 83.8 | 83 | 83.39 | |
| SMAC3configuration=Bayesian Opt.2025.10 | 82.05 | 82.5 | 81.7 | 82.09 | |
| Optunaconfiguration=HPO for CNN2025.10 | 81.35 | 81.75 | 80.9 | 81.32 | |
| AutoKeras2025.10 | 80.5 | 80.95 | 80 | 80.46 | |
| AutoGluon2025.10 | 79.65 | 80.1 | 79.2 | 79.65 | |
| TPOT2025.10 | 75.2 | 75.6 | 74.8 | 75.19 | |
| EfficientNet-B72025.10 | 73.42 | 73.52 | 73.2 | 73.36 | |
| ConvNeXt-XL2025.10 | 73.11 | 73.21 | 72.9 | 73.1 | |
| Big Transfer (BiT)2025.10 | 72.85 | 72.96 | 72.6 | 73.05 | |
| DenseNet-1212025.10 | 72.07 | 72.23 | 71.8 | 72.02 | |
| Xception2025.10 | 71.15 | 71.4 | 70.9 | 71.1 | |
| DenseNet-2012025.10 | 70.17 | 70.2 | 70.1 | 70.15 | |
| VGG162025.10 | 68.66 | 68.8 | 68.4 | 68.6 | |
| VGG192025.10 | 68.07 | 68.21 | 67.8 | 68 | |
| MobileNetV22025.10 | 63.38 | 63.36 | 63.4 | 63.37 | |
| ResNet-182025.10 | 59.44 | 59.45 | 59.4 | 59.42 |