Classification on ImageNet-1k (val) (Top-1 Accuracy)
85Top-1 Accuracy
SigLIP2-g/16
Updated 1mo ago
Evaluation Results
| Method | Links | |
|---|---|---|
2026.03 | 85 | |
2026.03 | 84.2 | |
2026.03 | 84.1 | |
2026.03 | 83.6 | |
2026.03 | 83.2 |
SigLIP2-g/16
| Method | Links | |
|---|---|---|
2026.03 | 85 | |
2026.03 | 84.2 | |
2026.03 | 84.1 | |
2026.03 | 83.6 | |
2026.03 | 83.2 |