| --- |
| 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. |
|
|
| <!-- 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` |
|
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|  |
|
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|  |
| <!-- phi2fm-dataset-figures:end --> |
|
|
