Image Classification on Radish (test)
95.82AccuracySCOLD
Evaluation results
| Method | Links | |
|---|---|---|
| SCOLDShot=16-shot, Training=fine-tuning2025.05 | 95.82 | |
| CLIPShot=16-shot, Training=fine-tuning2025.05 | 95 | |
| ResNet50V2Shot=16-shot, Training=fine-tuning2025.05 | 94.19 | |
| SigLIP2Shot=16-shot, Training=fine-tuning2025.05 | 92.95 | |
| BioCLIPShot=16-shot, Training=fine-tuning2025.05 | 92.25 | |
| SigLIP2Shot=4-shot, Training=fine-tuning2025.05 | 84.51 | |
| BioCLIPShot=4-shot, Training=fine-tuning2025.05 | 81.69 | |
| CLIPShot=4-shot, Training=fine-tuning2025.05 | 74.15 | |
| SCOLDShot=4-shot, Training=fine-tuning2025.05 | 70.36 | |
| CLIPShot=1-shot, Training=fine-tuning2025.05 | 69.17 | |
| SigLIP2Shot=1-shot, Training=fine-tuning2025.05 | 62.67 | |
| ResNet50V2Shot=4-shot, Training=fine-tuning2025.05 | 61.52 | |
| SCOLDShot=1-shot, Training=fine-tuning2025.05 | 55.22 | |
| BioCLIPShot=1-shot, Training=fine-tuning2025.05 | 53.16 | |
| ResNet50V2Shot=1-shot, Training=fine-tuning2025.05 | 47.17 |