Image Classification on Chili (test)
79.47AccuracyResNet50V2
Evaluation results
| Method | Links | |
|---|---|---|
| ResNet50V2Shot=16-shot, Training=fine-tuning2025.05 | 79.47 | |
| SigLIP2Shot=16-shot, Training=fine-tuning2025.05 | 75.24 | |
| BioCLIPShot=16-shot, Training=fine-tuning2025.05 | 73.25 | |
| SCOLDShot=16-shot, Training=fine-tuning2025.05 | 69.98 | |
| SCOLDShot=4-shot, Training=fine-tuning2025.05 | 69.91 | |
| CLIPShot=16-shot, Training=fine-tuning2025.05 | 69.11 | |
| CLIPShot=4-shot, Training=fine-tuning2025.05 | 67.85 | |
| ResNet50V2Shot=4-shot, Training=fine-tuning2025.05 | 64.72 | |
| SigLIP2Shot=4-shot, Training=fine-tuning2025.05 | 62.55 | |
| BioCLIPShot=4-shot, Training=fine-tuning2025.05 | 56.66 | |
| SigLIP2Shot=1-shot, Training=fine-tuning2025.05 | 52.03 | |
| BioCLIPShot=1-shot, Training=fine-tuning2025.05 | 50.58 | |
| SCOLDShot=1-shot, Training=fine-tuning2025.05 | 49.91 | |
| CLIPShot=1-shot, Training=fine-tuning2025.05 | 48.92 | |
| ResNet50V2Shot=1-shot, Training=fine-tuning2025.05 | 37.56 |