Image Classification on Wheat (test)
90.1AccuracySigLIP2
Evaluation results
| Method | Links | |
|---|---|---|
| SigLIP2Shot=16-shot, Training=fine-tuning2025.05 | 90.1 | |
| BioCLIPShot=16-shot, Training=fine-tuning2025.05 | 88.63 | |
| SCOLDShot=16-shot, Training=fine-tuning2025.05 | 86.73 | |
| CLIPShot=16-shot, Training=fine-tuning2025.05 | 85.48 | |
| SCOLDShot=4-shot, Training=fine-tuning2025.05 | 83.04 | |
| CLIPShot=4-shot, Training=fine-tuning2025.05 | 82.11 | |
| BioCLIPShot=4-shot, Training=fine-tuning2025.05 | 81.81 | |
| ResNet50V2Shot=16-shot, Training=fine-tuning2025.05 | 79.94 | |
| SigLIP2Shot=4-shot, Training=fine-tuning2025.05 | 75 | |
| ResNet50V2Shot=4-shot, Training=fine-tuning2025.05 | 69.87 | |
| SCOLDShot=1-shot, Training=fine-tuning2025.05 | 67.32 | |
| ResNet50V2Shot=1-shot, Training=fine-tuning2025.05 | 66.58 | |
| CLIPShot=1-shot, Training=fine-tuning2025.05 | 65.72 | |
| SigLIP2Shot=1-shot, Training=fine-tuning2025.05 | 59.1 | |
| BioCLIPShot=1-shot, Training=fine-tuning2025.05 | 54.54 |