ESA-PhiLab-Edge/PhilEOBench-building_density_regression
Simulated PhiSat Bench Dataset - Buildings This repository contains a simulated dataset derived from Sentinel-2 data for building analysis. Specifically, the dataset simulates outputs from the PhiSat2 satellite. Label Description Each sample in the dataset includes a single-channel label. The labels are stored as floating-point values that represent the estimated percentage of building coverage within each pixel. For a pixel with a 10-meter resolution… See the full description on the dataset page: https://huggingface.co/datasets/ESA-PhiLab-Edge/PhilEOBench-building_density_regression.
Simulated PhiSat Bench Dataset - Buildings
This repository contains a simulated dataset derived from Sentinel-2 data for building analysis. Specifically, the dataset simulates outputs from the PhiSat2 satellite.
Label Description
Each sample in the dataset includes a single-channel label. The labels are stored as floating-point values that represent the estimated percentage of building coverage 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 building coverage, and
- 100 indicates full building coverage.
Use Case
This dataset is intended for training models to predict building coverage as continuous values based on satellite imagery.
<!-- phi2fm-dataset-figures:start -->
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:
676 - Image shape:
(8, 5263, 3797) - Label shape:
(1, 5263, 3797) - Approximate mean label coverage:
0.024% - Approximate mean positive-pixel fraction:
0.0573
<!-- phi2fm-dataset-figures:end -->
