Fine-grained Image Classification on Fungi
54.7AccuracyBT-Clip-M
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| BT-Clip-MBackbone=ViT-L-14, Pre-training=Fine-tuned from MetaCLIP-L, Evaluation Protocol=Fine-tuned2024.06 | 54.7 | — | — | — | — | — | |
| BT-Clip-BBackbone=ViT-B-16, Pre-training=Fine-tuned from BioCLIP-B, Evaluation Protocol=Fine-tuned2024.06 | 53.9 | — | — | — | — | — | |
| BioCLIP-BBackbone=ViT-B-16, Pre-training=BioCLIP, Evaluation Protocol=Zero-shot2024.06 | 45.1 | — | — | — | — | — | |
| BT-Clip-OBackbone=ViT-B-16, Pre-training=Fine-tuned from OpenAI-B, Evaluation Protocol=Fine-tuned2024.06 | 43.2 | — | — | — | — | — | |
| MetaCLIP-LBackbone=ViT-L-14, Pre-training=MetaCLIP-cc, Evaluation Protocol=Zero-shot2024.06 | 24.6 | — | — | — | — | — | |
| OpenAI-BBackbone=ViT-B-16, Pre-training=OpenAI, Evaluation Protocol=Zero-shot2024.06 | 11.5 | — | — | — | — | — | |
| DinoV2_GiantModel Size=Giant2026.03 | — | 59.9 | 60.4 | 72.8 | 78.5 | 67.9 | |
| GRPO2026.03 | — | 77.4 | 60.1 | 96.5 | 96.1 | 81.8 | |
| Qwen2.5-VL-7BParameters=7B2026.03 | — | 70.2 | 61.1 | 84 | 85.9 | 74.4 | |
| TaxonRL2026.03 | — | 91.2 | 59.3 | 94.7 | 95.5 | 88.2 |