Image Classification on Unbalanced IFCB Plankton Dataset (test)
97.61AccuracyEfficientNet-B0
Evaluation results
| Method | Links | ||
|---|---|---|---|
| EfficientNet-B0Evaluation Protocol=Linear probe, Params=4M2026.01 | 97.61 | 89.94 | |
| ResNet-50Evaluation Protocol=Linear probe, Params=25.5M2026.01 | 97.59 | 88.64 | |
| EfficientNet-B3Evaluation Protocol=Linear probe, Params=11M2026.01 | 96.13 | 84.21 | |
| Our DiffusionEvaluation Protocol=Linear probe, Params=57M2026.01 | 91.45 | 90.64 | |
| EfficientNet-V2-SEvaluation Protocol=Linear probe, Params=22.5M2026.01 | 91 | 90.5 | |
| ViT-B/16Evaluation Protocol=Linear probe, Params=87M2026.01 | 90.5 | 89.8 | |
| MLP on featuresEvaluation Protocol=Linear probe, Params=0.1M2026.01 | 86.51 | 70.27 | |
| Masked Autoencodersbackbone=ViT-B/16, Evaluation Protocol=Linear probe, Params=87M2026.01 | 82.07 | 80.01 | |
| DINOv3backbone=ViT-B/16, Evaluation Protocol=Linear probe, Params=87M2026.01 | 79.09 | 32.74 |