Land Cover Classification on Berlin dataset
90.2Accuracy (Forest)
MGMNet
Updated 1mo ago
Evaluation Results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
2026.04 | 90.2 | 88.52 | 22.84 | 74.46 | 75.42 | 54.24 | 3.38 | 9.64 | 77.13 | 52.34 | 0.6243 | |
2026.04 | 87.46 | 77.74 | 54.34 | 71.62 | 72.8 | 67.39 | 20.42 | 57.94 | 73.34 | 63.71 | 0.6052 | |
2026.04 | 86.24 | 91.38 | 19.76 | 20 | 48.72 | 38.89 | 18.47 | 29.61 | 70.91 | 44.13 | 0.5107 | |
2026.04 | 84.84 | 81.14 | 56.53 | 78.24 | 79.32 | 74.53 | 17.67 | 63.8 | 76.32 | 67.01 | 0.6444 | |
2026.04 | 81.89 | 76.04 | 54.14 | 85.83 | 77.7 | 74.93 | 35.79 | 63.46 | 74.79 | 68.72 | 0.6303 | |
2026.04 | 81.77 | 80.28 | 58.87 | 88.98 | 84.13 | 31.94 | 20.32 | 52.41 | 75.88 | 62.34 | 0.635 | |
2026.04 | 81.09 | 73.05 | 62.61 | 82.82 | 86.41 | 54.61 | 2.56 | 75.96 | 71.08 | 64.88 | 0.5802 | |
2026.04 | 79.23 | 80.27 | 42.99 | 79.95 | 76.98 | 76.21 | 31.3 | 57.55 | 75.41 | 65.56 | 0.6315 | |
2026.04 | 78.01 | 74.05 | 39.48 | 84.15 | 88.03 | 70 | 38.18 | 56.41 | 72.63 | 66.04 | 0.6048 | |
2026.04 | 77.4 | 71.3 | 38.98 | 79.3 | 87.69 | 81.65 | 36.52 | 75.96 | 70.82 | 68.59 | 0.5853 | |
2026.04 | 73.52 | 88.07 | 46.6 | 83.42 | 90.72 | 24.35 | 12.99 | 76.13 | 78.19 | 61.98 | 0.6544 |