Indian Pines
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Hyperspectral Image Classification | Indian Pines (test) | Overall Accuracy (OA)99.9 | 100 | |
| Hyperspectral Image Classification | Indian Pines | Overall Accuracy (OA)96.63 | 69 | |
| Hyperspectral Image Classification | Indian Pines 10% (train) | Overall Accuracy98.76 | 21 | |
| Hyperspectral Classification | Indian Pines 25 bands | OA81.23 | 11 | |
| Classification | Indian Pines | Balanced Accuracy91.7 | 9 | |
| Pixel Classification | Indian Pines (IP) Modernized (test) | Overall Accuracy (OA)67.1 | 8 | |
| Inpainting | Indian Pines Dataset (test) | MPSNR28.54 | 8 | |
| Hyperspectral Image Classification | Indian Pines 30% (train) | Overall Accuracy99.98 | 7 | |
| Image Classification | Indian Pines (test) | Class 1 Accuracy96.09 | 7 | |
| Classification | Indian Pines 144 (test) | Accuracy70.3 | 6 | |
| Hyperspectral Image Classification | Indian Pines 50/50 (test) | Mean Test Accuracy93.7 | 4 | |
| Hyperspectral Image Classification | Indian Pines 211 queries | Accuracy84.4 | 3 | |
| Local Curvature Estimation | Indian Pines | Average Local Curvature10.5932 | 2 | |
| Hyperspectral Image Classification | Indian Pines 5 samples per class (test) | OA (%)78.5 | 1 |
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