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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.
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