| # Simulated PhiSat Bench Dataset - Roads | |
| This dataset comprises simulated PhiSat2 data derived from Sentinel-2, tailored for pixel-wise regression tasks aimed at estimating road coverage. | |
| ## Dataset Overview | |
| Each sample in the dataset includes a single-channel label. | |
| The labels are stored as floating-point values that represent the estimated percentage of roads area within each pixel. | |
| For a pixel with a 10-meter resolution (representing 100 square meters), the label values range from 0 to 100, where: | |
| - *0* indicates no roads coverage, and | |
| - *100* indicates full roads coverage. | |
| # Use Case | |
| This dataset is intended for training machine learning models for road detection, road network extraction and mapping, | |
| urban planning and infrastructure development, as well as disaster response and accessibility analysis. |