BigEarthNet
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | BigEarthNet (val) | mAP87.81 | 65 | |
| Multi-label Image Classification | BigEarthNet | Accuracy63.6 | 41 | |
| Multi-label Classification | GB-BEN | F1 Score51.89 | 10 | |
| Multi-label land cover classification | BigEarthNet (val) | mAP87.98 | 8 | |
| Remote Sensing Image Classification | m-bigearthnet | Accuracy69 | 7 | |
| Scene classification | BigEarthNet 10% (train) | mAP87.5 | 7 | |
| Multi-label Scene Classification | BigEarthNet Sentinel-2 | mAP85.02 | 6 | |
| SAR-to-Optical translation | BigEarthNet v2 (test) | DISTS0.2404 | 6 | |
| Scene classification | BigEarthNet 100% (train) | mAP92.9 | 6 | |
| Multi-label Scene Classification | BigEarthNet 100% 1.0 (full set) | mAP89.3 | 6 | |
| Scene classification | BigEarthNet 100% | mAP82.7 | 6 | |
| Multi-label Classification | BigEarthNet | AP71.51 | 5 | |
| Scene Classification | BigEarthNet RGB | Accuracy68.82 | 4 | |
| Multi-label classification | BigEarthNet 10% new class labels (train) | mAP85.11 | 4 | |
| Multi-class Classification | BigEarthNet MS | Accuracy69.94 | 2 |
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