pretty_name: PhilEO-Bench Building Density Regression
task_categories:
- other
annotations_creators:
- other
source_datasets:
- generated
tags:
- image
- geospatial
- remote-sensing
- earth-observation
- satellite-imagery
- phi-sat-2
- simulation
- regression
- building-density
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.
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
