Datasets:
metadata
license: cc-by-4.0
task_categories:
- image-to-3d
- object-detection
tags:
- building
- urban
- los-angeles
- 3d-tiles
- window-view
- cesium
- street-view
- architecture
size_categories:
- 10K<n<100K
language:
- en
pretty_name: LA Windowview
dataset_info:
features:
- name: osm_id
dtype: string
- name: building_type
dtype: string
- name: image
dtype: image
splits:
- name: train
num_examples: 37569
LA Windowview
A synthetic multi-view image dataset of 1,058 mid- and high-rise buildings in Los Angeles, CA. Each building is captured from multiple viewpoints simulating window-level perspectives across different facades and floor heights, rendered from Google Photorealistic 3D Tiles via Cesium.
Dataset Summary
| Item | Value |
|---|---|
| Buildings | 1,058 |
| Mid-rise | 1,051 |
| High-rise | 7 |
| Total images | 37,569 |
| Image format | JPEG |
| Building source | OpenStreetMap |
| 3D rendering | Google Photorealistic 3D Tiles (Cesium) |
| Region | Los Angeles, CA, USA |
Dataset Structure
LA_Windowview/
├── LA_Building_folder/ # 1,058 GeoJSON files (one per building)
│ ├── {osm_id}.geojson
│ └── ...
└── screenshots/ # 37,569 JPEG images
├── {osm_id}_building_{building_id}_facade_{facade_id}_floor_{floor_idx}_view_{view_id}.jpg
└── ...
GeoJSON Schema
Each .geojson file is a FeatureCollection with building footprint geometry and viewpoint metadata:
{
"type": "FeatureCollection",
"features": [{
"type": "Feature",
"geometry": { "type": "Polygon", "coordinates": [...] },
"properties": {
"source": "osm",
"id": "1013455134",
"building_type": "mid-rise",
"osm_type": "commercial",
"name": "...",
"centroid_lon": -118.305,
"centroid_lat": 34.090,
"viewpoint_count": 70,
"processed_building_id": 17702,
"viewpoints": [
{
"view_id": "building_17702_facade_0_floor_0_view_0",
"building_id": 17702,
"facade_id": 0,
"floor_idx": 0,
"floor_name": "base",
"lon": -118.30571,
"lat": 34.09067,
"alt_m": 100.0,
"heading": 0.385,
"pitch": 0.0,
"roll": 0.0,
"fov_deg": 60.0
}
]
}
}]
}
Image Naming Convention
{osm_id}_building_{building_id}_facade_{facade_id}_floor_{floor_idx}_view_{view_id}.jpg
| Field | Description |
|---|---|
osm_id |
OpenStreetMap building ID |
building_id |
Internal building index |
facade_id |
Facade index (0-based, one per building side) |
floor_idx |
Floor level index of the viewpoint |
view_id |
View index within the facade/floor combination |
Data Collection
Viewpoints are programmatically placed around each building at multiple facade directions and floor heights. Screenshots are rendered using CesiumJS with Google Photorealistic 3D Tiles, capturing the building appearance as seen from a neighboring window perspective.
Camera parameters per viewpoint:
- Altitude: 100 m above ground
- FOV: 60°
- Pitch / Roll: 0° (level horizon)
- Heading: oriented toward building centroid
Usage
import json, os
from PIL import Image
# Load building metadata
with open("LA_Building_folder/1013455134.geojson") as f:
building = json.load(f)
props = building["features"][0]["properties"]
print(props["building_type"], props["viewpoint_count"])
# Load corresponding images
osm_id = props["id"]
images = [f for f in os.listdir("screenshots") if f.startswith(osm_id)]
img = Image.open(f"screenshots/{images[0]}")
img.show()
Citation
If you use this dataset, please cite:
@dataset{la_windowview_2026,
author = {Zongrong},
title = {LA Windowview: Multi-View Window-Level Imagery of Los Angeles Buildings},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/Zongrong/LA_Windowview}
}