| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | m-so2sat GEO-Bench | Overall Accuracy65.7 | 22 | |
| Classification | m-so2sat (test) | Mean Accuracy69.8 | 17 | |
| Multi-channel Image Classification | So2Sat Full channels (test) | Accuracy67.57 | 17 | |
| Image Classification | So2Sat | Accuracy67.1 | 14 | |
| Image Classification | So2Sat city-split (test) | Accuracy63.36 | 12 | |
| Multi-channel Image Classification | So2Sat Partial channels (test) | Accuracy47.76 | 9 | |
| Classification | So2Sat20k | Accuracy59.8 | 8 | |
| Multi-channel image classification | So2Sat (Partial) | Accuracy53.11 | 8 | |
| Local Climate Zone Classification | So2Sat LCZ42 (test) | F1 Score79 | 8 | |
| Classification | So2Sat block | Accuracy73.46 | 8 | |
| Classification | So2Sat rand | Accuracy94.97 | 8 | |
| Local Climate Zone Classification | So2Sat LCZ42 17-class | MCC0.682 | 6 | |
| Local Climate Zone Classification | So2Sat LCZ42 8-class | MCC75 | 4 | |
| Multi-class Classification | So2Sat-LCZ42 MS | Accuracy60.72 | 2 | |
| Image Classification | So2Sat (val) | Top-1 Acc63.25 | 1 |