Multi-label Classification on ImageNet ML v2
88.2Top-1 Accuracy
+Multi-label FT
Updated 1mo ago
Evaluation Results
| Method | Links | ||
|---|---|---|---|
2026.03 | 88.2 | 83.3 | |
2026.03 | 87.9 | 83 | |
2026.03 | 87.1 | 81.4 | |
2026.03 | 86.9 | 81.3 | |
2026.03 | 86.9 | 82.6 | |
2026.03 | 86.8 | 81.8 | |
2026.03 | 86.8 | 81.8 | |
2026.03 | 86.4 | 80.7 | |
2026.03 | 85.8 | 80.3 | |
2026.03 | 85.1 | 80.7 | |
2026.03 | 84.1 | 80.2 | |
2026.03 | 83.1 | 75.6 | |
2026.03 | 82.4 | 77.7 | |
2026.03 | 82.3 | 77.4 | |
2026.03 | 81 | 76.2 | |
2026.03 | 81 | 76.2 | |
2026.03 | 80.4 | 76.1 | |
2026.03 | 80 | 72.7 | |
2026.03 | 79.7 | 74.6 | |
2026.03 | 79.4 | 74.8 | |
2026.03 | 78.2 | 72.3 | |
2026.03 | 78.2 | 72.3 | |
2026.03 | 77.7 | 72.7 | |
2026.03 | 77.4 | 73 |