Image Classification on Terra Incognita Cis (test)
91.7AccuracyWildCLIP
Evaluation results
| Method | Links | ||
|---|---|---|---|
| WildCLIPBackbone=ViT-B/162026.01 | 91.7 | — | |
| WildCLIP-LwFBackbone=ViT-B/162026.01 | 88.93 | — | |
| WildIngBackbone=ViT-B/162026.01 | 84.1 | — | |
| CLIP AdapterBackbone=ViT-B/162026.01 | 79.45 | — | |
| Long-CLIP AdapterBackbone=ViT-B/162026.01 | 79.11 | — | |
| Linear Probe CLIPBackbone=ViT-B/162026.01 | 78.09 | — | |
| BioCLIP AdapterBackbone=ViT-B/162026.01 | 77.09 | — | |
| WildIngTraining=Snapshot Serengeti2026.01 | 50.06 | 43 | |
| WildCLIP-LwFTraining=Snapshot Serengeti2026.01 | 43.67 | 40 | |
| Long-CLIPTraining=ShareGPT4V2026.01 | 42.41 | 41 | |
| WildCLIPTraining=Snapshot Serengeti2026.01 | 41.62 | 39 | |
| CLIPTraining=OpenAI data2026.01 | 39.14 | 39 | |
| Long-CLIP AdapterTraining=Snapshot Serengeti2026.01 | 30.4 | 28 | |
| CLIP AdapterTraining=Snapshot Serengeti2026.01 | 27.45 | 25 | |
| BioCLIPTraining=TREEOFLIFE-10M2026.01 | 21.12 | 20 | |
| BioCLIP AdapterTraining=Snapshot Serengeti2026.01 | 14.21 | 12 |