Fine-grained Image Classification on Oxford-IIIT Pets
97.3Accuracy
CAP
Updated 1mo ago
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
2021.01 | 97.3 | - | - | |
2021.01 | 95.9 | - | - | |
2025.04 | 94.3 | - | 0 | |
2021.01 | 93.8 | - | - | |
2025.04 | 93.8 | - | 0 | |
2025.04 | 93.7 | - | 64.9 | |
2025.04 | 93.7 | - | 72.9 | |
2021.01 | 93.5 | - | - | |
2025.04 | 93.4 | - | 63.5 | |
2025.04 | 93.1 | - | 0 | |
2021.01 | 92.5 | - | - | |
2021.01 | 91.6 | - | - | |
2026.06 | 90.3 | - | - | |
2025.04 | 88.3 | 0 | - | |
2026.05 | 88.3 | - | 0 | |
2026.05 | 88.3 | - | 64.7 | |
2025.04 | 88.2 | 0 | - | |
2025.04 | 88 | 51.8 | - | |
2026.05 | 88 | - | 51.8 | |
2025.04 | 87.4 | 0 | - | |
2025.04 | 87.2 | 60.2 | - | |
2026.05 | 87.2 | - | 60.2 | |
2026.05 | 87 | - | 96.1 | |
2026.05 | 86.3 | - | 53.6 | |
2026.06 | 86.3 | - | 53.6 | |
2025.04 | 86.2 | 51.2 | - | |
2026.06 | 85.3 | - | 63.2 | |
2025.04 | 85.1 | - | 0 | |
2026.05 | 85.1 | - | 0 | |
2026.06 | 85.1 | - | 0 | |
2026.05 | 85 | - | 65.9 | |
2026.05 | 84.7 | - | 61 | |
2026.06 | 84.7 | - | 61 | |
2025.04 | 84.6 | - | 74.2 | |
2025.04 | 84.5 | - | 55.8 | |
2026.05 | 84.5 | - | 55.8 | |
2026.06 | 84.5 | - | 55.8 | |
2026.05 | 84.1 | - | 94 | |
2025.04 | 83.6 | - | 0 | |
2026.05 | 83.5 | - | 11.8 | |
2026.06 | 83.5 | - | 11.8 | |
2026.05 | 82.3 | - | 66.2 | |
2026.05 | 82.3 | - | 10.4 | |
2025.04 | 79.3 | - | 79 | |
2025.04 | 76.7 | - | 73.8 | |
2026.06 | 76.7 | - | 73.8 | |
2025.04 | 76 | - | 75.8 | |
2026.06 | 75 | - | 52.5 | |
2025.04 | 66.9 | - | 63.7 | |
2026.06 | 66.9 | - | 63.7 | |
2025.04 | 66.7 | - | 63.9 | |
2026.06 | 66.7 | - | 63.9 | |
2025.04 | 31.9 | - | 3.8 | |
2025.04 | 10 | - | 0.2 | |
2026.06 | 10 | - | 0.2 | |
2026.06 | - | - | 3.1 | |
2026.06 | - | - | 66.1 | |
2026.06 | - | - | 88.6 |