Phidranet
Collection
Datasets used for training the phidranet model. • 8 items • Updated • 1
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This dataset is based on Sentinel-2 imagery and provides simulated burned area data at a 4.75-meter spatial resolution. It allows for detailed post-fire landscape analysis in different ecosystems around the world.
Each image is labeled with four classes:
Including Clouds and Waterbodies helps models handle real-world issues like cloud cover and similar-looking features, improving model performance and generalization.
| Class | Test (%) | Validation (%) | Training (%) |
|---|---|---|---|
| Background | 20.0 | 20.4 | 59.7 |
| Burned Area | 19.8 | 20.1 | 60.1 |
| Clouds | 19.4 | 20.1 | 60.5 |
| Waterbodies | 20.8 | 19.4 | 59.8 |
This dataset is well-suited for wildfire mapping, monitoring, and ecological research.