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mehmetkeremturkcan/boundless-nyc

BoundlessNYC: compiled city This dataset holds the runtime content of BoundlessNYC, a real-time digital twin of Manhattan, the Bronx, Brooklyn and Queens compiled from public municipal records. It contains: the compiled city as binary streaming tiles; the vehicle, pedestrian and prop models, textures and skies the renderer loads; the built WebGL2 client. The simulation server of the desktop release serves this folder, as does the interactive demo. The source code, compiler… See the full description on the dataset page: https://huggingface.co/datasets/mehmetkeremturkcan/boundless-nyc.

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BoundlessNYC: compiled city

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This dataset holds the runtime content of BoundlessNYC, a real-time digital twin of Manhattan, the Bronx, Brooklyn and Queens compiled from public municipal records. It contains:

  • —the compiled city as binary streaming tiles;
  • —the vehicle, pedestrian and prop models, textures and skies the renderer loads;
  • —the built WebGL2 client.

The simulation server of the desktop release serves this folder, as does the interactive demo. The source code, compiler and Python API are in the GitHub repository mkturkcan/boundless-nyc.

Versionv0.1.0 (git tag; use --revision v0.1.0 for a release-matched download)
CoverageManhattan, the Bronx, Brooklyn, Queens
Contentsbuilding prisms with per-building attributes, streets and markings, lane and sidewalk graphs, street furniture and trees
Sizeabout 3 GB

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Layout

PathContents
Content/tiles/t_<i>_<j>.bin near tiles, far_<i>_<j>.bin far-field tiles, manifest.json, bridges.json
Content/models/glTF vehicles (fleet24/), pedestrian bodies, outfits and animation clips (peds24/, with the Rocketbox set in peds24/rb27/), street props (carla/), street trees (trees25/)
Content/textures/PBR ground and facade sets (KTX2 and JPEG), eight HDRI skies, city-scale sky-occlusion bake (cityao.*)
Content/index.html, Content/assets/built client
Content/{data,luts,fonts,basis,settings}/campus, elevated-rail and landmark geometry; colour LUTs; Inter; Basis transcoder; graphics defaults

Each near tile holds, for one 512 m square in a metric frame (x east, z south):

  • —building prisms with per-building attributes;
  • —road, kerb and sidewalk surfaces;
  • —lane and crosswalk markings;
  • —the lane and sidewalk graphs for traffic and pedestrians;
  • —street-furniture placements and tree records.

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The client decodes tiles in boundlessjs/src/world/tiledata.js. boundlessjs/tools/pipeline/compile.mjs produces them.

Usage

Desktop release (Windows x64). The release archive on GitHub includes this folder. To restore it in an extracted release:

hf download mehmetkeremturkcan/boundless-nyc --repo-type dataset --revision v0.1.0 --include "Content/*" --local-dir <release folder>

From source, the client needs the three binary banks (tiles, models, textures). The smaller banks are committed to the repository.

hf download mehmetkeremturkcan/boundless-nyc --repo-type dataset --revision v0.1.0 \
    --include "Content/tiles/*" --include "Content/models/*" --include "Content/textures/*" --local-dir .cache/hf

BUILDING.md in the repository explains how to place the files and how to recompile the tiles from the public sources.

Sources and licences

The tiles derive from NYC Open Data (Building Footprints, PLUTO, facade-inspection filings, Street Centerline, 2015 Street Tree Census, hydrants, parks, borough boundaries, bus shelters, LinkNYC kiosks, bicycle parking, bus lanes, the DoITT 3D Building Model), New York State open data (MTA subway entrances, NYSERDA distributed solar), OpenStreetMap, USGS 3DEP elevation, FHWA MUTCD outlines, green-roof footprints (Treglia et al., The Nature Conservancy, 2016) and Roofpedia (Wu and Biljecki, 2021).

Licences, in brief (LICENSE.md has the full table):

  • —Compiled city (tiles, derived data): ODbL 1.0, © OpenStreetMap contributors. Rendered imagery may be used under any terms with that attribution.
  • —Vehicle, prop and pedestrian models: CC BY 4.0, CARLA Simulator (carla.org), except the Rocketbox pedestrian set (models/peds24/rb27/): MIT, Microsoft Rocketbox Avatar Library. Motion clips (100STYLE) and bag models: CC BY 4.0.
  • —Textures and skies: CC0 1.0 (Poly Haven, ambientCG). Font: SIL OFL 1.1 (Inter). Built client: MIT.

The dataset contains no Street View or other third-party photography.

Citation

bibtex
@article{turkcan2024boundless,
  title   = {Boundless: Generating photorealistic synthetic data for object detection in urban streetscapes},
  author  = {Turkcan, Mehmet Kerem and Li, Yuyang and Zang, Chengbo and Ghaderi, Javad and Zussman, Gil and Kostic, Zoran},
  journal = {arXiv preprint arXiv:2409.03022},
  year    = {2024}
}