Datasets:
Tasks:
Image-to-3D
Modalities:
Geospatial
Languages:
English
Size:
100K<n<1M
Tags:
3d-point-cloud
point-cloud-generation
city-scale
remote-sensing
satellite-imagery
digital-surface-model
License:
| # Tile metadata | |
| Per-tile geographic coordinates are **regenerated by the pipeline** rather than shipped as a | |
| static file. (An earlier exported grid file did not match the released tile set, so it was | |
| removed to avoid confusion.) | |
| ## Files | |
| | File | Description | | |
| |------|-------------| | |
| | `melbourne_tile_index.kml` | Tile index for Melbourne, viewable in any GIS tool; input to `scripts/melbourne/grid_from_kml.py`. | | |
| | `splits/` | Train / validation / test tile-ID lists. Generate with `scripts/make_splits.py` (see `splits/README.md`). | | |
| ## Regenerating the tile grid | |
| The tiling scripts derive each tile's geographic extent directly from the source LAS, so no | |
| pre-computed grid file is required. If you want an explicit grid as JSON, run: | |
| ```bash | |
| python scripts/melbourne/grid_from_kml.py # writes output_grids.json from the tile index KML | |
| ``` | |
| Each entry provides the tile id, grid row/column, and geographic bounding box (UTM + WGS84). | |