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ESA-PhiLab-Edge/PhilEOBench-road_density_regression

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… See the full description on the dataset page: https://huggingface.co/datasets/ESA-PhiLab-Edge/PhilEOBench-road_density_regression.

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Dataset Card

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.

Dataset Visual Summary

The figures below are designed for quick visual inspection rather than quantitative evaluation. Each representative panel shows the source image, a label overlay, and an adaptive heatmap that makes sparse targets easier to inspect.

—Samples: 378
—Image shape: (1, 5119, 5119)
—Label shape: (1, 5119, 5119)
—Approximate mean label coverage: 0.012%
—Approximate mean positive-pixel fraction: 0.0382

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